Data is the king, queen, oil, sun, and the moon.
Connecting a database to a Java application is not an easy process. You need to consider the connection pool, the data access layer, etc.
According to the paper published by Lokman Rahmani et al., the S/Kademlia distributed hash table (DHT) used by the ACN is resilient against malicious attacks.
The Pick utility Type lets us take types based off existing ones, by selecting specific elements from them. Let's look at how it works and when to use it.
On Hacker Noon, I will be sharing some of my best-performing machine learning articles. This listicle on datasets built for regression or linear regression tasks has been upvoted many times on Reddit and reshared dozens of times on various social media platforms. I hope Hacker Noon data scientists find it useful as well!
In this article, we’ll be deep-diving on how to build Apache Superset from the source. The official documentation is too complicated for a new contributor and thus my attempt to simplify it.
Data is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more. Many of these datasets have been made public to allow people to contribute and add valuable insight into the way the climate is changing and its causes.
Andrew Ng likes it, you probably will too!
Ever since Google Web Search API deprecation in 2011, I've been searching for an alternative. I need a way to get links from Google search into my Python script. So I made my own, and here is a quick guide on scraping Google searches with requests and Beautiful Soup.
Auros, a company specialising in algorithmic trading and market making, and Pyth Network will provide access to high-frequency data in real-time.
For many, privacy and security seem to be words that are interchangeable. Yet, you can have one without the other and users need to be aware of what they get.
In Ruby read and write JSON file to hash can be achieved using File Handling.
Running a successful online application is an exciting journey, But it is also full of challenges. It starts from product-market fit (PMF)
This 2019 has been clearly marked by a bearish wave (and also speculative events) and with that comes a breath of much needed space for the builders to have room to build the runway for the solutions proposed in the many white papers distributed all over the web.
Google products are generally free for use, don’t need to go overboard if you handle simple data. No Cost, Just Productive Dashboard
Data breaches and ransomware attacks are getting more common. If you want to get in on this industry as a cybersecurity professional, you need qualifications.
LinkedIn is a great place to find leads and engage with prospects. In order to engage with potential leads, you’ll need a list of users to contact. However, getting that list might be difficult because LinkedIn has made it difficult for web scraping tools. That is why I made a script to search Google for potential LinkedIn user and company profiles.
Leading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:
The burden the COVID-19 novel coronavirus has placed on the world is enormous. There’s a great thirst for information and clarity. So, we at Logz.io have decided to offer a Community COVID-19 Dashboard Project, so that everyone can better understand how the outbreak impacts the world and their region. We see that as a community effort. We invite the global community of engineers and data scientists to add data to this public dashboard that will cover not just the direct impact of the coronavirus on public health, but other aspects of society as well. We want to help everyone better understand the impact of COVID-19 anywhere around the world.
A valuable asset for anyone looking to break into the Data Engineering field is understanding the different types of data and the Data Pipeline.
Data labeling and annotation is one of the biggest challenges businesses face in developing AI solutions. Here are the top 5 Data labeling mistakes.
Support and resistance are two of the best established concepts in technical analysis trading strategies. Conceptually, both support and resistance identify pricing points on an asset that favor a pause or reversal of a given trend. In traditional technical analysis, there are several indicators that model out points of support and resistance all of them are solely based on price trends. Many of those techniques can be extrapolated it to crypto-assets but I think we can do a bit better. For the first time in history, we have an asset class that records parts of the behavior of individual investors and asset holders in public ledgers. That information results a gold mine when comes to estimate objective levels of support and resistance.
RAIN executives give a full breakdown of the build out and power of AI Voice Assistants.
In this blog you will discover best data visualization tools to effectively analyze your datasets. Learn about the tools to create intuitive visualization.
For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.
Dummy data is randomly generated data that can be substituted for live data. Whether you are a Developer, Software Engineer, or Data Scientist, sometimes you need dummy data to test what you have built, it can be a web app, mobile app, or machine learning model.
Data security is a business challenge and a business opportunity, not a mere technical task for your IT department.
Tables are a useful tool for visualizing, organizing and processing data in JavaScript. To start using them, you need to download a free library or one for a reasonable price. Here is a list of 10 useful, functional, and reliable JS libraries that will help you work with tables.
Web scraping has broken the barriers of programming and can now be done in a much simpler and easier manner without using a single line of code.
How to get data from API JSON in Excel table with the simplest tutorial with formula. Ready to go open-sourced VBA formula with intuitive video tutorial
Access to training data is one of the largest blockers for many machine learning projects. Luckily, for various different projects, we can use data augmentation to increase the size of our training data many times over.
In this post, we are going to scrape data from Linkedin using Python and a Web Scraping Tool. We are going to extract Company Name, Website, Industry, Company Size, Number of employees, Headquarters Address, and Specialties.
Object oriented database is a type of database system that deals with modeling and creation of data as objects. The main advantage of this database is the cons
Data analytics is used for transforming raw data into useful insights.
The most suitable data storage tool for Metaverse is undoubtedly distributed storage.
Easily back up Smartsheet data to SQL Server using the SSIS components for Smartsheet.
<em>This is the third blog post in our series exploring aspects of the Arweave’s decentralised, </em><a href="https://www.arweave.org/"><em>permanent web</em></a><em>. You can catch up with the other parts </em><a href="https://medium.com/arweave-updates/building-the-decentralised-web-part-one-the-problem-9766f1987c91"><em>here</em></a><em> and </em><a href="https://medium.com/arweave-updates/building-the-decentralised-web-part-two-the-components-97409d1fe545"><em>here</em></a><em>.</em>
I've worked with Blockchain & Web3 startups consistently since 2017. I've seen teams come and go, businesses flourish only to fail, and bull and bear markets prop up, or kill great ideas respectively.
As an aspiring data scientist, the best way for you to increase your skill level is by practicing. And what better way is there for practicing your technical skills than making projects.
Marketing is a big business and it's only going to grow bigger. One reason for this is that marketers need to keep growing the list of data points.
What’s more frightening than Halloween? Data migration.
Here are a handful of recent case studies that show the power of data labeling in action.
Nowadays, we are seeing a new wave and great advancements in different technologies. Things like Deep Learning, Computer Vision, and Artificial Intelligence are improving every single day. And Researchers and scientists are having amazing use-cases with these technologies which can change the direction of our world.
Building a Serverless Data Pipeline to Analyze Meetup data
SPyQL combines Python and SQL to make querying of CSV and JSON data easy. In this tutorial we analyse the geographical distribution of cell towers.
Why learning SQL is a major career boost with LogicLoop
For those looking to analyze crime rates or trends over a specific area or time period, we have compiled a list of the 16 best crime datasets made available for public use.
In this tech guide, we will cover the important details about DOCSIS 3.1 technology.
While GraphQL offers several benefits, there are some potential disadvantages and challenges to using it in C# to consider, before you decide to implement it.
Data mapping solutions powered by AI and ML enable users to bridge the differences in the schemas of data source and destination in a target repository.
The data whisperer is the function sitting between the business and the technologists.
With more companies collecting customer data than ever, database backups are key.
Product teams have a lot of great practices that data teams would benefit from adopting. Namely: user-centricity and proactivity.
Even if moderators delete a post that is breaking the rules of Reddit, it is still very easy to find.
What is Database Modeling?
If you haven’t heard of the Universal Data Tool yet, it’s an open-source web or desktop program to collaborate, build and edit text, image, video, and audio datasets with labels and annotations.
Sharyph, a tech writer, goes over how to become a professional data analyst.
Introduction of the very basic formulation of the major sensor-servo problem, and then presenting its most common approaches like touch-based,
Give your users time to explore the UI of your latest product offering so you can gain an understanding of how interaction can be improved.
Website categorization refers to the process of classifying websites that users come into contact with into various categories.
Ocean Protocol is technology that allows data sharing in a safe, secure and transparent manner without any central intermediary. Using Ocean Protocol, data scientists and artificial intelligence researchers can unlock and analyze big data, while respecting data privacy.
Hypothesis tests are significant for evaluating answers to questions concerning samples of data.
Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset-data.
In this article, we’ll walk through SharePass’s patent-pending security funnel, providing a step-by-step guide to building out your security pipeline.
The Importance of data analytics and data-driven decisions across the board and in this case insurance data.
Decentralized storage is still far from mature. Three key obstacles - technical, regulatory and adoption - currently stand in its way.
Technology has taken over the world, now is the time for small businesses to realize that what they need is tech. Smart analytics makes everything easier.
One way to handle data in microservice architectures is to use decoupled microservices architecture. This form of architecture can bring many benefits.
Understanding MySQL explains query output is essential to optimize the query. EXPLAIN is good tool to analyze your query.
Faster, Better Insights: Why Networked Data Platforms Matter for Telecommunications Companies
The data lifecycle (also known as the information lifecycle) refers to the full-time period during which data is present in the system.
Any typical ETL/ELT pipeline cannot be completed without having "kafka" keyword in the discussions.
These four resources may be useful for learning about data structures and practicing making algorithms for your advanced programming needs in your work.
Nowadays, companies are increasingly relying on corporate data backup solutions to guarantee the safety and recoverability of their data. Read on to learn more
With the massive increase in the volume of data on the Internet, this technique is becoming increasingly beneficial in retrieving information from websites and applying them for various use cases. Typically, web data extraction involves making a request to the given web page, accessing its HTML code, and parsing that code to harvest some information. Since JavaScript is excellent at manipulating the DOM (Document Object Model) inside a web browser, creating data extraction scripts in Node.js can be extremely versatile. Hence, this tutorial focuses on javascript web scraping.
Google announced that it would ban the usage of third-party cookies; it has made a lot of publishers afraid that they won't be able to utilize user data.
Data lakehouses are quickly replacing old storage options like data lakes and warehouses. Read on for the history and benefits of data lakehouses.
Thinking of shifting to a new database management engine? Here's how to migrate data from SQL server to PostgreSQL.
A queue using an SQL-database? well, you need to know pros and cons, and a typical implementation.
To learn how B2B companies solve the problem with key metrics in a product, I caught up with Yuri Brankovsky who has worked in multiple digital products.
SubQuery is a blockchain developer toolkit that allows for web3 infrastructure through a custom open-source API between data and decentralized applications.
Gone are the days when journalists simply had to find and report news.
2-minute look at the building of kleene.ai through a founder's eyes.
2022 saw the data space grow by leaps and bounds. Here are the top 9 things our team of data experts expects to see in 2023.
Power BI offers a solution for businesses that need to manage large volumes of data. It's designed to help with even the heaviest data flows business have.
Glassdoor is one of the biggest job markets in the world but can be hard to scrape. In this article, we'll legally extract job data with Python & Beautiful Soup
AIs application to civil engineering and concrete construction is the future of structural safety. There have been various successful & innovative applications.
What are the most important KPIs for startups to measure success? Find your answer in this article and learn what key product metrics to track to enable growth.
Connectivity is something amazing. Right now, we are used to use our computers or phones to buy, post, watch, etc. We can do lots of things actually. We are connected to the world and to each other.
Data science has been democratized for the most part. AI is now mainstream! It's no longer the exclusive province of large companies with deep pockets.
2021 saw many advancements in internet privacy, what does 2022 have in store?
Once the laughingstock of the Internet, hackers are now some of the most wanted criminals in the world.
More than new laws and fines, we need to reconsider data ownership as a whole and discover new structures that place control back into the hands of the people.
Cyber insurance is a type of insurance policy designed to protect businesses and individuals against losses resulting from cyber attacks and data breaches.
If your company is trying to make sense of the customer data, here’s a not-so-surprising fact for you. You aren’t alone. Far too many companies want to understand data and gain an in-depth insight into the information they are sitting on. Let’s be clear that today, the success of a business lies in how efficient their data mining process is. Their expertise to process the available data as this can help them to decipher age-old questions that make or break them:
Data observability is built on three core blocks: metrics, logs, and lineage. What are they, and what do they mean for your data quality program?
The DB3 Network is a start-up project to build a decentralized, permissionless platform for programmable data processing.
WHAT IS DATA ANALYTICS?
It’s 3 AM. My alarm goes off and I groggily climb out of bed and crack open my laptop. One of our biggest customers needs their data delivered by 9 AM, and I’m getting up before sunrise to triple-check every data point before their delivery. Our data platform was built with hundreds of data audits, but this customer’s delivery was just too complex to feel 100% confident that we’ve captured all potential issues. This scenario would soon become a typical morning for me. Wake up. Coffee. Pray to the data gods for an inbox without 500 Zendesk ticket escalations.
Predictive analytics is able to predict which customers are most likely to churn or which products are most likely to be returned. Here are 6 other use cases.
Your digital footprint refers to the trail of information you generate when creating, sharing, or storing any digital data.
With the pace of the business world, it is increasingly important for marketers to embrace new technological breakthroughs to stay ahead of the curve.
Support for the OASIS MQTT open standard protocol is the main feature added to Diffusion 6.6 Preview 2, the latest release of the Diffusion® Intelligent Event Data Platform.
Backend data security relies in encryption, access control, data backup and other such features to exist. These best practices are intended for the backend.
IoT and smart buildings are all about data, but how is all this data used and what kind of data can you get? Read Haltian's article about smart buildings & data
How do social networks of the future differ from the usual ones, and what projects to expect in 2023.
11/21/2022: Top 5 stories on the Hackernoon homepage!
A comprehensive guide for NumPy Stacking. How to stack numpy arrays on top of each other or side by side. How to use axis to specify how we want to stack arrays
Whoever owns your data, owns your decisions.
We’ve been asked if Airbyte was being built on top of Singer. Even though we loved the initial mission they had, that won’t be the case. Aibyte's data protocol will be compatible with Singer’s, so that you can easily integrate and use Singer’s taps, but our protocol will differ in many ways from theirs.
Encoding is a technique used to convert categorical data to numerical representations to be able to use the data in machine learning algorithms.
Self-service data preparation tools are designed for business users to process data without relying on IT, but that doesn’t mean IT users can't benefit too.
Messenger’s onboarding is a great case study of manipulative design
It is often very difficult for AI researchers to gather social media data for machine learning. Luckily, one free and accessible source of SNS data is Twitter.
AI-driven technology expedites this process and helps companies meet consumer demand, cater to consumer concerns, and personalize the consumer experience.
The Second World War brought to the front burner the world of espionage, which is the precursor of cybersecurity, as is seen in the modern world. Technological advancements such as the quantum computer necessitate that we take the war against cybercrimes to another level.
The JetPack Datastore is an Android data storage solution that is helpful when making Android-based mobile apps by providing a way for data to be retrieved.
In this new era of digital transformation, there isn’t really a good excuse for companies that claim they want to succeed but aren’t willing to invest in employ
Recently I had to write a script, which should’ve changed some JSON data structure in a PSQL database. Here are some tricks I learned along the way.
Data is everywhere. In the business world alone, we use it to track search engine traffic, monitor website activity, land sales, improve customer service.
undefined
Growth marketers - the wait is OVER. The first round results announcement of the Growth Marketing Writing Contest is now LIVE!
Understanding MySQL explains query output is essential to optimize the query. EXPLAIN is good tool to analyze your query.
Facebook is collecting ultrasensitive personal data about abortion seekers and enabling anti-abortion organizations to use that data
The global chip shortage has taken the gaming industry by storm, as it is one of the biggest industries most affected, and the resupply of consoles can last unt
Data Loss Prevention is a set of tools and practices geared towards protecting your data from loss and leak. Even though the name has only the loss part, in actuality, it's as much about the leak protection as it is about the loss protection. Basically, DLP, as a notion, encompasses all the security practices around protecting your company data.
Nowadays, most assertions need to be backed with data, as such, it is not uncommon to encounter data that has been manipulated in some way to validate a story.
This article gives insight into some basic features and functionality that a desirable modern BI software has and illustrated some examples.
RFM analysis is a data-driven customer segmentation technique that allows marketing professionals to take tactical decisions based on severe data refining
A lot of the work we do at ChartMogul centers around how we display and present your data in a clear and transparent way.
Earlier, we lived in industrial and post-industrial societies, and gas and oil were the only things of value. Now, it’s the age of information society and data has replaced petrol as the economy’s driving force. The reason is that with the help of Big Data, people significantly improve production efficiency and business economics. That’s true.
The Internet Live Stats graph above pictures Google's first 13 years. Today they report 4,517,847,993 DA(internet)Us currently do 4,781,309,755 daily Google searches, according to Internet Live Stats.
With human-in-the-loop data labeling, humans and machines complement each other, which results in simple solutions for a variety of difficult problems at scale.
Do you recall every company you have given consent to use your data as you browse a website or sign-up to a ‘free’ service? It's time we moved beyond consent
It is important for your non-profit organization to comply with HIPAA to protect health data. Here's how you can do so.
Blockchain is the secret to trusting the data as it moves into our healthcare ecosystem.
Using Relational Database to search inside unstructured data
Introduction to automation with python and my top 3 most used code snippets.
If you want to accelerate Trino queries with a response time of seconds to minutes, click here to learn how Trino helps engineers.
The Datasets library from hugging Face provides a very efficient way to load and process NLP datasets from raw files or in-memory data. These NLP datasets have been shared by different research and practitioner communities across the world.
The article describes how a relational database should be designed to properly work in OLTP mode.
Learn how to capitalize on your business standards and increase the conversion rate by approximately 85% by analyzing customer behaviors with data you collect.
Regulating the tech industry won’t fix its ethical problems, it might make them worse. Mike Monteiro has written the most compelling argument I have seen for regulation. Regulation would address many of the kinds of ethical risks that have made headlines recently. But I think it would leave many risks in place and introduce new risks — a more systemic risk, in fact — that in the long term would actually expose the public and the industry to more potential downside that it currently faces. Regulation at scale requires rules that stipulate what is ethical and what is not, in the case of the discussion of the ethics.
By using Microsoft Power BI, you increase the efficiency of your company through its interactive insights and visual clues. Here are 6 tips for Power BI users.
1/20/2023: Top 5 stories on the Hackernoon homepage!
Defining the Data Science Problems the right way is hard work. The failure rate of various data science initiatives is really high — often ~70-80%.
One of the biggest losses for companies? Inadequate cybersecurity.
There are three different types of data: structured data, semi structured data, and unstructured data.
It goes without saying that data is the cornerstone of any data analysis.
The COVID19 crisis has been playing out globally for over half a year, or almost a year counting its early phase in China. It’s been hurting a lot of sectors, but one particular sector stood to benefit — Fintech.
Ransomware is worse than malware: Systems and data are all locked up, and backups are all encrypted, too.
Thanks to Microsoft, and a lot of whiskey data.
Tinder's "Top Spotify Artists" feature is relatively shallow, but could be fixed easily. Here is a demonstration of how it works currently and what can change.
This week on HackerNoon's Stories of the Week, we looked at three articles that covered the world of software development from employment to security.
Lei Li, AI Platform Lead, and Zifan Ni, Senior Software Engineer from Bilibili, share how they increased the training efficiency on their AI platform.
Denial Of Service or DoS attacks work by overloading the target host’s bandwidth, preventing other users from accessing the affected server, denying service.
The popularity of online virtual data rooms has increased over the years. These are innovative software used for safe storage and sharing of files. As the world is modernizing, people are using advanced technology to carry out their daily tasks. As everything today is digital, it becomes more and more crucial to look for new methods to store files. Gone are the days when people used to pile up hard copies of all the files in the offices. Some people are still seen doing that which wastes half of their time. Imagine you have a business meeting in some time and you can’t find a specific file because there is a huge unorganized bundle of files in your office. With virtual data rooms, all your files are well organized. You do not have to get into a hassle of finding a certain file. With just one click, the file appears in front of you in no time.
Off late, “Fintech” has been and remains to be a buzzword. It is transcending beyond traditional banking and financial services, encompassing online wallets, crypto, crowdfunding, asset management, and pretty much every other activity that includes a financial transaction. Thereby competing directly and fiercely with traditional financing giants and their methods.
In today’s data-driven world, data is generated and consumed on a daily basis. All this data holds countless hidden ideas and information that can be exhausting
Artificial Intelligence and Big Data. These two terms seem to permeate the tech world in every possible way one can think of. Along with giant terms like Machine Learning, IoT, blockchain and related ones, AI and Big Data are set to dominate our world in the years ahead.
Big data has made a slow transition from being a vague boogie man to being a force of profound and meaningful change. Though it’s far from reaching its full potential, data is already having an enormous impact onhealthcare outcomes across the world — both at the public and individual levels.
Every minute, a staggering 1,820 terabytes of data is created around the world. That’s more than 2.5 quintillion bytes every day! This data takes many forms, from Tweets and Instagram posts to the generation of new bitcoin.
Data transfer is very important and it keeps happening almost every minute. As we chat on various social media applications or even like a post, there is a transfer of information that is happening. While we may not be too bothered about the way in which information and data are transferred from the receiver to the sender and vice-versa, we, of course, would be concerned about the safety of the data and information that is flowing on the internet and other forms of communication.
Python is one of the oldest mainstream programming languages, which is now gaining even more ground with a growing demand for big data analytics. Enterprises continue to recognize the importance of big data, and $189.1 billion generated by big data and business analytics in 2019 proves it right.
An incredible 87% of data science projects never go live.
How can organizations best measure news sentiment to gain insights about customer and investor behavior?
Since the recent Bitcoin halving event, most small and medium crypto miners have had to shut down their mining rigs. Simply put, it is not profitable to have a mining rig in your home at current market prices. However, there are some solutions to the issue.
The art of building a large catalog of connectors is thinking in onion layers.
An experiment in real-time data visualization
In this article, I will analyze what actually happened, taking as a basis 15 days before and 15 days after the transition.
Web Scraping OpenSea to get NFT data and trade history about the NFT collection The Bored Ape Yacht Club
APIs are less like USB ports or fire hoses than they are as a person at a help desk in a foreign country. An API will not give you all of a program’s information or code (like a fire hose), because what would stop you from replicating the entire code base? Instead, an API provides you with data its programmers have made available to outside users. Even so, you have to know the language and ask the right questions to do anything with this data.
Years back I had read a blog about database scalability where it simplifies definition of scalability with activities in a kitchen. I was quite surprised how successful the comparison was. Come to think about it, technology is and should be inspired by what’s happening around us. This thinking pushed me into thinking and linking technology with my everyday life.
2/2/2023: Top 5 stories on the Hackernoon homepage!
With the rise of data science there has been the rise of data science managers. So what do you need to keep in mind if you wish to join these data translators that are acting as a conduit between the business and technical data teams? Going from a practitioner to a manager — your job now is to make sure that data resources are being used optimally so how do you go about doing this effectively?
Requesting fitness data (backlog) from Terra requires HTTP requests, so I’m writing an essential guide here on using a REST API with Python.
Andreas Hassellof, Founder and CEO of Ombori, explores how changing customer behaviors impact retail, and drive retail technology innovation.
Tactical Mission
If you're working on something that users actually use, then you're most likely also acquiring data en masse. When it comes to free text feedback, this data might get lost or stay in the hands of some analysts. How to take a few easy steps, to turn that data into actionable steps instead.
All good things must come to an end, which may be true for the VPN in 2021. VPNs have been a useful enterprise tool for companies since they started in the 90s,
You may be shocked to find out what information is available about you and how it could be used. Here are steps you can take to minimize your online footprint.
While there are a few different libraries for scraping the web with Node.js, in this tutorial, i'll be using the puppeteer library.
Project management is perhaps the most crucial job in any organization. This is because the success of every project is directly proportional to slowly reaching towards the goals and objectives of the organization that were established well in advance.
Self-serve systems are a big priority for data leaders, but what exactly does it mean? And is it more trouble than it's worth?
The world of analytics is continually evolving, introducing new goods and adjustments to the modern market. New companies are entering the market and well-know
Fenwick Tree is an interesting data structure that uses binary number properties to solve point update and range queries in your code in some situations.
Objective: Predict if a driver will accept a ride request or not and find the probability of acceptance.
Emergent factors refers to the factors that can arise from the interaction of a group of agents or a system.
Propensity model to figure out the likelihood of a person buying a product on their return visit. We need to identify the probability to convert for each user.
We are living in a weird time. Day by day we see more & more people coughing and getting sick, our neighbors, coworkers on Zoom calls, politicians, etc… But here’s when it becomes really, really scary — when you become one of “those” and have no clue what to do. Your reptile brain activates, you enter a state of panic, and engage complete freakout mode. That’s what happened to me this Monday, and I’m not sure I’m past this stage.
We've all heard the environmental benefits of cloud computing, but there are some cons as well. Is the cloud really more sustainable?
For millions of prospective college students, applying online for federal financial aid has also meant sharing personal data with Facebook, unbeknownst to them.
Data is everywhere it is something that we all rely on. It is used by individuals and large organizations that collect and store hundreds of files a day.
One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales.
Screenshot from Internet Live Stats. Interestingly, the internet experienced year over year decline in 2010, 2013, 2015, and 2018. Wonder why? Here are more site that source to measure aggregate website growth:
Cloud computing has grown exponentially in the past decade and is not about to stop. As predicted by Forrester’s research, the global public cloud infrastructure will grow 35% in 2021, many thanks to the pandemic. Due to the lingering effects of covid-19 in 2021, the cloud will be the key focus for organizations looking for increased scalability, business continuity, and cost-efficiency.
Blockchain technology democratizes data collection and gives individuals data sovereignty in the context of social media being able to collect so much of it.
Data Science and ML have become competitive differentiator for organizations across industries. But a large number of ML models fail to go into production. Why?
R is a tool used for data management, storage, and analysis in the field of data science. It has applications in statistical analysis and modeling.
A brief description of the difference between Data Science and Data Engineering.
Now that you've built the swanky software application of your dreams, what’s next?
Setting up a website is relatively easy in 2020. Gone are the days when you had to code the whole thing on notepad and then connect to your host with some additional FTP software.
Having high-quality data can make or break your projects in machine learning or business management. These 7 data quality metrics have the largest impact.
According to Forbes, 82% of content generated this year is likely to be video.
The number of software developers globally is due to almost double by 2030, yet InterSystems research has found that more than 8 out of 10 developers currently feel they work in a pressured environment. Creating a better experience for developers is key for inciting innovation, but the current data environment continues to evolve in ways that challenge the experience at every turn.
So, recently I started my Udacity Nanodegree on Data Scientist. To be honest the first project speaks about CRISP-DM which is CRoss-Industry Standard Process for Data Mining.Let's leave it apart and start working on what we learn from the dataset.
Data, data everywhere…but not enough to decide!
We’re more dependent on tech and e-commerce than ever before, and customers want to know that brands are protecting their data and privacy.
For many businesses the lack of data isn’t an issue. Actually, it’s the contrary, there’s usually too much data accessible to make an obvious decision. With that much data to sort, you need additional information from your data.
Learn the differences between web scraping and data mining and how to apply them.
A look at common mistakes that data scientists make in the process of service delivery.
A recent academic paper uses Hyperledger infrastructure to conduct access control processes using decentralized identifiers, verifiable credentials, and conventional access control models.
This article looks at data uniqueness and discusses where it should be enforced. At application level or database level?
It's important to make informed decisions that positively impact your organization. But how do you know when to rely on data and when to use intuition?
Tech-enabled industries are never short of buzzwords and the latest to join the bandwagon is the Internet of Things. Though this Industry 4.0 solution is available for long, the need for adding smart technology has increased presently among industry leaders.
If you work with buffered data such as Audio/Video Frame data, you have no doubt appreciated the features of Typed Arrays that came with ES2017 javascript. The ability to move, duplicate, manipulate blocks of data using object methods is achieved by 'imposing' a dataview on the data blocks. These have made buffered data processing a breeze and fast (avoid slow for-loops and extra code ). A detailed discussion of typed arrays is found here: javascript typed arrays.
Why you should be happy about companies collecting your data.
Unfortunately, your app is really only as good as the data that supports it and most of the time, that can be out of your control.
Rookout Co-Founder and CTO, Liran Haimovitch, shares the origin story of their debugging tool, what excites him about the startup life, PLG, and more.
In the era of enterprise cloud, modern enterprise datacenter must support virtualization with high availability and live VM migration. The traditional storage area networks (SAN) or network attached storage (NAS) doesn’t suit. Instead, they are ideal to manage a logical unit number (LUN). A LUN can be a single disk, an entire redundant array of independent disks (RAID), or disk partitions.
“In order to have a standard of value [cryptocurrency] must stand outside all value schemes. It must have value in and of itself."
When was the last time you read a privacy policy?
Blogs, they’re everywhere. Blogs about travel, blogs about pets, blogs about blogs. And data science is no exception. Data science blogs are a dime a dozen and with so many, where do you start when you need to find the most valuable information for your needs?
With the enormity of data, data visualization has become the most sought-after method to depict huge numbers in simpler versions of maps or graphs.
VMware is commonly used to set up data centers for organisations. If the most commonly used solution doesn't work, some alternatives may work better for you.
AI is too complex and dynamic a technology to be approached one-sidedly, only from the business or IT side. Read the article and find out more
Have you worked on machine learning classification problem in the real world? If so, you probably have some experience with imbalance data problem. Imbalance data means the classes we want to predict are disproportional. Classes that make up a large proportion of the data are called majority classes. Those that make up a smaller portion are minority classes. For example, we want to use machine learning models to capture credit card fraud, and fraudulent activities happens approximately 0.1% out of millions of transactions. The majority of regular transactions will impede the machine learning algorithm to identify patterns for the fraudulent activities.
Camino Financial is an AI-powered Community Development Financial Institution (neo-CDFI) offering affordable credit to underbanked Latinx entrepreneurs.
Pandas is a powerful and popular library for working with data in Python. It provides tools for handling and manipulating large and complex datasets.
Cascade is a protocol that enables the storage of NFT data and metadata permanently within a highly redundant, distributed fashion with a single upfront fee.
Poor quality data could bring everything you built down. Ensuring data quality is a challenging but necessary task. 100% may be too ambitious, but here's what y
Data storage and access have long been a concern for businesses. A ton of data is created daily, and efficient storage is a must to keep track of everything.
Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models.
What if I say that there is a place where you can not only store your Data Science projects but also experiment on them right then and there?
SQL (Structured Query Language) is a programming tool or language that is widely used by data scientists and other professionals
Most drivers have no idea what data is being transmitted from their vehicles, let alone who exactly is collecting, analyzing, and sharing that data...
The global product development services industry was close to $8 billion in 2020.
Data-heavy manual processes like probate cases are common throughout the legal industry. Thankfully, automation offers a solution to this common problem.
All about MongoDB vs DynamoDB. Explore benefits, and in-depth comparison to find out the best choice for your business app.
In the post, I used a simple SQL query to explain how certain things work in SQL. I also outlined problems with the query and potential ways to improve the code
Files are getting larger and space for your favorite content can be at a premium. Getting your own server can make storing data so much easier.
Social media scraping involves automating the process of extracting data from social media websites such as Twitter and Instagram through web scraping.
Network Attached Storage (NAS) is a smart, dedicated data storage system that connects to storage drives, allowing multiple users to collaborate and share data.
Data is getting more and more accessible and is increasingly being used to inform the way businesses operate.
Companies across every industry rely on big data to make strategic decisions about their business, which is why data analyst roles are constantly in demand.
In this blog, we will be looking specifically at the issue of resolving entities (also known as record linkage), as well as discussing a comprehensive framework
Conversational AI was always poised to take off in 2020. In fact, Gartner predicted that 80% of businesses would implement some sort of conversational interface by the end of this year. With the emergence of COVID-19 came compounded growth for the category - and I wanted to capture just how far we’ve come. So for the conversationally curious out there, I created this infographic that offers a clear depiction of where conversational AI stands at this very moment in time.
Technology has had a significant impact on how election campaigns are run, and it has been used in a variety of ways to influence election outcomes.
The configuration of Google Analytics 4 is not a walk for those unfamiliar with analytical tools or data setup.
Here is not really an article, but more some notes about how we use dbt in our team.
Apparently, data has become more ubiquitous than the stars in the sky. In fact, the amount of data produced daily via the Internet is set to top 44 zettabytes. As you might assume, that’s more data than you could possibly fathom or use.
Data and computer systems are at the heart of most companies, which is why it is paramount that where you store your IT infrastructure meets your needs.
A Data Fabric is a mix of architecture and technology that aims to ease the difficulty and complexity of managing several different data types.
There is a ton of data points generated from each of your business activities today. A simple email blast to a few thousand recipients generates data pertaining to the open rates, click-through rates and conversion. These data points can further be distilled to infer specific information about the audience demographics that find your message appealing, the subject lines that trigger the user to open your emails, the CTAs that work, and so on.
On my self-taught programming journey, my interests lie within machine learning (ML) and artificial intelligence (AI), and the language I’ve chosen to master is Python.
Oh no! I lost all my vacation pictures. What do I do now? Is it possible to recover all the deleted files from the SD card? Will I ever get to see my photos from the vacation again?
Yesterday a friend of mine called me sharing his CEO mailed him asking for his personal financial details with CTA on a shortened URL. He was about to click the
Recurrent Neural Networks (RNN) have played a major role in sequence modeling in Natural Language Processing (NLP) . Let’s see what are the pros and cons of RNN
In the healthcare sector, data virtualization (DV) is gaining traction. It's still a hot subject, with many leading industry experts hailing it as a game-changer.
This summer, we will be hosting a virtual CoderDojo meetup via Zoom. 🍿 Noblesville High Schooler Anna 👩🏻🦰 selected this lesson for her summer CoderDojo project.
Over the next decade or so, we’ll see an incredible transformation in how companies collect, process, transform and use data. Though it’s tired to trot out Marc Andreessen’s “software will eat the world” quote, I have always believed in the corollary: “Software practices will eat the business.” This is starting with data practices.
Learn how to visualize and interpret weather APIs and soil data in different graphs using python libraries, and Google Collab.
Seven data professionals gear up to analyze and visualize one of the largest and robust datasets out there to win the title - The Iron Analyst!
Trading is a booming sector that today attracts many people. Here are 10 tips to help you succeed as a trader.
In business, efficient processes can make or break an organization. If processes are not executed properly, companies lose time, money, and damage their reputation.
The crypto market might seem incredibly boring to traders these days with Bitcoin and Ethereum behaving like stablecoins 😉. However, a handful number of crypto-assets are showing an atypical momentum non-correlated with the rest the space. Among those crypto-assets, none is capturing the imagination of crypto-speculators like ChainLink. In the last few days, ChainLink has been regularly hitting all-time highs despite challenging the lack of momentum of the top crypto-assets.
Enterprises ensure their data is accurate, consistent, complete, and reliable, by relying on data quality tools
We get a glimpse into the inner workings of a valuable company and it turns out it's not all sunshine and rainbows.
DJ Patil and Jeff Hammerbacher coined the title Data Scientist while working at LinkedIn and Facebook, respectively, to mean someone who “uses data to interact with the world, study it and try to come up with new things.”
In the current digital age in which we live, population data is of exceptional value. And so, when the data of a company's customers are in unconnected silos, they can be a barrier to success.
What are you actually missing out on in MySQL replication? It appears easy, but to debug the problem caused by it takes a lot of time. So, here's your answer.
How the challenge of protecting personal information online led to data protection and privacy laws in the EU and U.S.
Location-based information makes the field of geospatial analytics so popular today. Collecting useful data requires some unique tools covered in this blog.
There have been great advancements in monetization opportunities in the last decade, but there are still challenges when it comes to generating big data analyti
An examination of the importance of data quality, how it can present itself in a dataset, and how it can impact machine learning models.
Disclaimer: Many points made in this post have been derived from discussions with various parties, but do not represent any individuals or organisations.
A tracking tool installed on many hospitals’ websites has been collecting patients’ sensitive health information—including details about their medical condition
Data Visualization can be a crucial tool for your nonprofit. Figure out when to use and how to use it to improve your organization.
Using machine learning to analyze blockchain datasets is a fascinating challenge. Beyond the incredible potential of uncovering unknown insights that help us understand the behavior of crypto-assets, blockchain datasets presents very unique challenges to a machine learning practitioner. Many of these challenges translate into major roadblocks for most traditional machine learning techniques. However, the rapid evolution of machine intelligence technologies has enabled the creation of novel machine learning methods that result very applicable to the analysis of blockchain datasets. At IntoTheBlock, we regularly experiment with these new methods to improve the efficiency of our market intelligence signals. Today, I would like to provide a brief overview of some novel ideas in the machine learning space that can yield interesting results in the analysis of blockchain data.
Data privacy is one of the hottest topics in tech conversation. But what's the deal with it? Is it good? Is It bad? Keep reading to find out.
In the 1980s, the US military first coined the term ‘OSINT’. Since then, the dynamic reform of intelligence has been beneficial in many different scenarios.
Role of of pharma analytics to enumerate the factors accountable for falling medication adherence and the increasing role of data analytics and machine learnin
The set of skills that are mostly expected by the employers can be gained by the cybersecurity certifications, it will prepare you for the diversity needed in the sophisticated areas of cybercrime. So, here are the top compiling reasons for you to pursue the additional cybersecurity credentials.
We need to start building the best practices across the ecosystem to maximize the value of data observability.
Meanwhile, developments in another legal case suggest Meta may have a hard time providing the Senate committee with a complete account of the health data.
What do you do if an API you reference sends 200 - OK but an error message? What do you do when a critical column is missing from your Excel upload? Read me.
Building an enterprise data warehouse can be either relatively straightforward or very sophisticated. It depends on many factors, such as the conceptual data model complexity and the variety of source systems. In many cases, applying the Change Data Capture (CDC) approach can make the data integration simpler. Fortunately, there are plenty of CDC tools available in the market, many of which are easy-to-use and affordable, while others are cumbersome and expensive (for what it is).
In this paper, I used data from two different data sources and merged them together in the Tableau layer to perform the data analysis.
The Data Scientist Creativity Paradox
An interview with the founder and CEO of Bigeye, a data observability platform.
Pivot Charts are useful tools that can be relied on to visualise huge amounts of data. These 7 JavaScript Pivot Widgets are some of the best ways to use them.
Data analysis as a whole is one of the most important industries. Now that DeFi is a full-fledged industry, there is a growing need for valuable data analytics.
Let’s start with the idea of a database, and a basic query. Server taps the database. Server brings back persistent state information that allows an application to update, and maybe a GUI. What’s wrong with this picture? Not much at first, of course. A GET request is the anchor of RESTful architecture, and in some ways the anchor of the web. So basic that fetch syntax defaults to that type.
Are you building a Software-as-a-Service platform? Wondering what data is essential for your business? Time for a Data Analytics Strategy.
According to a report, almost 70% of companies compete on customer experience.
APIs are quickly becoming the front door to modern enterprises. But the API paradigm also comes with various hidden costs around development, management, etc.
I'll start off by dating myself... it was the year 2000. I was in college and the brand new Mini Disk MP3 player had just come out. Superior audio to CD's and the ability to hold hundreds of songs on 1 little disk. Being a broke college kid, it took me about 6 months to make the purchase. Just when I got used to looking cool with my MD player, a wild flash of cool came across the analog airways via a commercial from a company that was only recently regaining its cool with a crappy multicolor desktop PC called the iMac. Of course, I'm talking about Apple. The product was the iPod. I was defeated and nearly threw away my MD player on the spot.
Businesses should switch from linear formulae to data-driven finance. This will allow companies to not only get an immediate revenue boost!
Software Engineers are always on the lookout for better, more efficient ways to solve problems.
There is a great demand for data scientists presenting market dynamics that are favourable for the community. More so than your peers in other professions, you will be able to evaluate a company for what it is able to offer you, rather than solely being the one that is being evaluated. So what should you look for when comparing and evaluating data science roles? Here is a list of some commonly known factors plus some less discussed ones that will help you in your evaluation.
Still relying on overnight processes to drive your decision making? Maybe it’s time to consider an evaluation of your CDC pattern that uses new technology.
Most businesses these days use RAID systems to gain improved performance and security. Redundant Array of Independent Disks (RAID) systems are a configuration of multiple disk drives that can improve storage and computing capabilities. This system comprises multiple hard disks that are connected to a single logical unit to provide more functions. As one single operating system, RAID architecture (RAID level 0, 1, 5, 6, etc.) distributes data over all disks.
What is a surveillance state? Privacy International defines it as one which “collects information on everyone without regard to innocence or guilt” and “deputizes the private sector by compelling access to their data”.
Every minute, a staggering 1,820 terabytes of data is created around the world. That’s more than 2.5 quintillion bytes every day!
In this article, we make a map with a software called Mapbox in a few simple steps. This won't involve any coding at all!
ANSI X12 EDI is one of the most important concepts that you must be aware of prior to implementing EDI in your organization.
As an online retailer, how can you improve your business? Of course through providing a better customer experience. An e-commerce company needs to have a well understanding of the following factors:
Gigasheet combines the ease of a spreadsheet, the power of a database, and the scale of the cloud.
You're not doing everything you can to protect your SaaS environment if you're skipping one of these: 1. Security policy enforcement, 2. Regular configuration..
Data is the lifeblood of any application and any business venture.
What's the most efficient way to store market data? SQL or NoSQL? Let's compare 5 most common options and find out what is best.
Adding minidump support came with a number of technical challenges that we had to address.
A look at the importance of on-chain anlysis
Jules Verne, John Brunner, Arthur Clarke, William Gibson, George Orwell — it’s a short list of writers who predicted the future in their books. They’ve written about social and technical changes that will take place in human society. Here we are, facing those changes good or bad.
Google may have provided Sberbank-owned RuTarget with unique mobile phone IDs, IP addresses, location information and details about users’ interests and online.
Today, data verification has become one of the greatest assets of an organization.
Cities have been using data for public safety for years. What new technology is emerging in public safety, and how does it affect you?
The development of smartphone and computer technologies, and the internet in general, have influenced customers’ default behavior and expectations.
“Can machine learning models help improve ball accuracy, precision and retention, leading to scoring after throw-ins?
To do estimates of SQL queries we need to understand how DB works with queries. Let's find out what exactly the db do with queries.
The flexibility of interoperability in the healthcare system has enhanced patient-doctor interaction to a great extent.
When FastCompany's website was hacked recently, it sent shockwaves through the media world, underscoring the importance of routine cybersecurity hygiene.
Have you ever heard of “Dark Data”?
Considering how much fraudulent RTOs can cost a business, using data science to mitigate their frequency can help save an e-commerce business money over time.
Does your content generate more yawns than leads? Is your content just another copy of 100 similar articles clogging up the search engines? Hopefully not, but even if you think your content has an impact, there is always room for improvement.
Coming out of college with a background in mathematics, I fell upward into the rapidly growing field of data analytics. It wasn't until years later that I realized the incredible power that comes with the position.
From NASA to the NSA, data science is being employed by the governments of every major country to inform policy, provide public services and, in some cases, surveil ordinary people. In the United States in particular, it underpins many of the public sector’s most important functions, whether we citizens are aware of it or not.
I would like to introduce an open source, Apache 2.0 licensed project of mine: https://github.com/CivicGraph/CivicGraph
All you need to know about Power BI Features, Benefits, Use Cases and pricing. A Comprehensive Guide to Power BI and how it stacks up to Microsoft Excel
An Introduction to Anomaly Detection and Its Importance in Machine Learning
According to Gartner, the spending on data centre infrastructure is supposed to grow 6% in 2021 after a steep decline of 10.3% in 2020.The reduced demand in data infrastructure is expected to come back in 2021 once the workforce gets back to the site, according to Naveen Mishra, a senior research director at Gartner.
Connect to Salesforce from AWS Glue jobs using the CData JDBC Driver hosted in Amazon S3.
WooCommerce is a great plugin for WordPress to build an online store. With an entire eCommerce ecosystem and a dedicated global community, it has achieved the reputation of an industry standard. Still, this doesn’t mean that nothing c go wrong, especially if you ignore essential security precautions. Here are ten tips on how to make your business (and your customers’ data) safe.
I wrote a children's book on data science to inform others who have a hard time understanding data science and machine learning concepts, especially kids!
The Markup reviewed public hearing testimony in all 31 states that have considered consumer data privacy legislation since 2021 and found a campaign by Big Tech
When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it.
The trackers notified Google, Facebook’s parent company Meta, payments processor Stripe, and four analytics firms when users visited its site.
In this article, I will be showing you how to build a reliable data pipeline for your small business to improve your productivity and data security.
Learn the impact of airflow on the data quality checks and why you should look for an alternative solution tool
Data is the foundation of smart cities. However, to deliver the right solutions, planners must establish sustainable data and AI technology policies.
Raw data coming in from various sources is often inherently dirty data, rife with factual errors, typos and in