Check the latest statistics on the usage of Vue and learn why this framework is growing in popularity.
Hackernoon polled readers on whether they would use AI tools for their writing/copywriting workflow. Nearly 70% are open to the idea.
If you are using Windows and don’t want to use the RStudio client on the Windows side, this method will work perfectly.
TLDR:
I've spent 12 days in Ubers over the last 3 years. Read this to find your own lifetime Uber stats.
An overview of AB testing during the design of digital products like UX, digital marketing advertisements and software development.
There are tons of articles about the number of developers in the world. But most of them either lack good methodology or simply borrow statistics from other resources.
Investors are always evaluating the amount of risk they are willing to take for a certain expected return. Intuitively, the best investment maximizes the return
We can be warned about upcoming events predominantly occurring under similar circumstances.
... in a world full of data, we can understand the impact with clever methods. Meet Granger causality.
How to use Approximate leave-one-out cross-validation for hyperparameter optimization and outlier detection for logistic regression and ridge regression
A Gaussian blur is applied by convolving the image with a Gaussian function. We’ll take the Gaussian function and we’ll generate an n x m matrix.
It is not a secret to anyone that YCombinator is the most successful accelerator in the world. They have made well over 2,538 investments.
People are scared of AI. According to Genpact research:
According to Statista, the global startup economy generates nearly $3 trillion. Startups have always been the driving force behind the world market, bringing new ideas, and transforming familiar business systems. Unfortunately, the economic crisis associated with Covid-19 has not spared this area.
I first ordered The Hundred-Page Machine Learning book back in May and am only just now finishing it up. In COVID-time, that was about 10 years ago. As you might have inferred, this book is NOT a quick read. What it lacks in easy reading, it makes up for in efficiency. This book swallows up the heavyweight mathematics textbooks and spits out a slim product no thicker than the width of my smartphone. From page one all the way to page 136, Andriy Burkov, the author, does not waste a single word in distilling the most practical concepts in machine learning. You read that right. It is MORE than 100 pages! Sounds like the book has some bias. Get it? Now get ready for my hundred-page book review. Just kidding.
If street crime statistics matched those of cybercrime, our world would resemble the Wild West.
A beginner’s guide to Probability and Random Events. Understand the key statistics concepts and areas to focus on to ace your next data science interview.
We explore a low-code/no-code market poised for exponential growth in the coming years.
Learn how to approach data-driven measurement properly. See what unexpected results we got in a bank and get insights for your own data analytics journey.
Facebook has been criticized in the past because many believe they are allowing right-wing content to run rampant on the site.
This is a simple method for outlier detection, the procedure basically is a Quantile of weibull distribution of the chi square test in python.
NFT ownership has increased throughout the globe, with Southeast Asian nations such as the Philippines, Thailand, and Malaysia leading the pack.
The terms correlation and causation are quite often confused, however, they are not synonyms and this article specifies the main reasons why.
Funnel Chart in R, A funnel chart is mainly used for demonstrates the flow of users through a business or sales process.
A preambular article describing the fundamental principles & intuition behind the “LIME” concept in Artificial Intelligence & Machine learning.
Researchers use an algebraic acme called “Losses” in order to optimise the machine learning space defined by a specific use case.
A look at how to engage in the future of work through digital workspaces
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.
Experimentation designing in the marketplace without AB-Testing using Synthetic Control Groups and Switchbacks.
E-Commerce has spiraled due to the pandemic environment, leading to irreversibly enhanced online shopping.
An introductory article describing the concept & intuition behind “Mean Target Encoding” in AI&ML, its pros, cons and implementation with a real-time example.
01/12/2019
Top 7 Most Used Web Frameworks Among Developers Worldwide 2021 [Statistics]
Releasing the first internal build of the NordVPN apps that included NordLynx – our brand new protocol built on the backbone of WireGuard® – was an exciting moment for the team. Everyone started posting their speed test results on Slack and discussing the variance. While most of the time NordLynx outperformed other protocols, there were some cases with slightly worse speed results.
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!
Statistical Analysis, Intraday Forex Trading, Using SQL
Explaining real world applications and the philosophy of statistical variance through finance, investing, and gambling.
A rudimentary article describing the concept behind the "CLIP" algorithm in deep learning, its approach, implementation, scope & limitations.
List of Top 10 Data Scientist skills that guaranteed employment. As well as a selection of helpful resources to master these skills
The Data Scientist Creativity Paradox
R programming is mostly used in statistical analysis and ML. This article looks at the Best Pre-Installed R Datasets Commonly Used for Statistical Analysis.
An introductory article explaining the basic intuition, mathematical idea & scope of radial basis function in the development of predictive machine learning.
The 80/20 rule, a.k.a. Pareto principle, has been perpetuated along the lines: "80% of the effects come from 20% of the causes." Different cases where the rule emerges have been studied, in the last century, by great personalities such as Vilfredo Pareto (land ownership in Italy), George Kingsley Zipf (word frequency in Languages), and Joseph M. Juran (quality management in industries). Working as a Data Scientist, I have seen enough of the 80/20 rule being invoked in business meetings followed by a round of applause 👏👏👏. Also, I have read numerous LinkedIn posts alike. Most times, it is just a reckless stretch of the rule. But what is the danger here, if any? After all, profits matter more than mathematical and statistical rigor.
Boost your social media strategies for 2022 by knowing the most important up-and-coming TikTok marketing trends and engagement stats.
It’s easy to visualize placing 10 chairs in a room, but it’s difficult to visualize 1,000 chairs. In order to acquire an accurate frame-of-reference, most of us would need to start by sketching out a diagram. Understanding this and applying it to business, the last thing you want is for your customer to have to hunt down a pen, paper and calculator in order to understand your numerically-based product features - don’t assign homework. Captivate customer attention by applying these clever ways to convert numbers into things people care about.
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.
In 2016, Google photos classified a picture of two African-Americans as “gorillas.” Two years later, Google had yet to do more than remove the word “gorillas” from its database of classifications. In 2016, it was shown that Amazon was disproportionately offering one-day shipping to European-American consumers. In Florida, algorithms used to recommend detention and parole decisions on the basis of risk of recidivism were shown to have a higher error rate among African-Americans, such that African-Americans were more likely to be incorrectly recommended for detention who would not go on to re-offend. When translating out of a language with gender-neutral pronouns, and into languages with gendered pronouns, Google’s word2vec neural network injects gender stereotypes into translations, such that pronouns become “he” when in conjunction with “doctor” (or “boss,” “financier,” etc.) but become “she” when translated in conjunction with “nurse” (or “homemaker,” or “nanny,” etc.).
It's that time of year again. Summer is coming to an end, Autumn is around the corner, and the NHL season is about to begin.
Hypothesis tests are significant for evaluating answers to questions concerning samples of data.
Bayesian change point model to estimate the date that the number of new COVID-19 cases starts to flatten in different countries.
Counts are everywhere, so no matter your background, these data distributions will come in handy.
A software engineer’s journey into data science at Yelp and Uber
You, obviously. And millions of people from around the world. What audience are you advertising to? Who are you writing for? Learn more about our readers here.
therefore a working compromise between these 2 extremes should be found on a case-by-case basis
A prelusive article comprehending the concept behind model calibration, its importance and usage in machine learning model development.
A prelude article elucidating the fundamental principles and differences between “Model-based” & “Instance-based” learning in the branches of Artificial Intelligence & Machine learning.
“That’s so random!” Common phrase used to express something is unexpected or without a pattern. Does random mean something different in science?
Your customers’ credit score is one of the most important numbers of their financial lives. This three-digit number is the most used credit scoring model by lenders for evaluating a borrower's creditworthiness or the likelihood that they’ll repay the money.
In 2019, Bitcoin's (BTC) volatility was erratic. On one day alone, the price of bitcoin changed by over 40%. However, for most days, the change in price hovers around 1%-2%. The purpose of this article is to investigate the nature of BTC's volatility and see what kind of strategies are suited best to take advantage of it.
Austin here, your friendly neighborhood software engineer from Hacker Noon, with some exciting news! We are pleased as punch to announce that contributing writers can now see pageviews and total time reading for all stories published with Hacker Noon since we began in 2016. How cool is that? Previously our stats page was only accessible for recent story performance.
Modern methods of software measurement do not provide a strong base for continuous improvement. This article tries to fill this gap.
The concept of artificial intelligence as a non-human intelligence originated in the 1950s, but no one then could have imagined what success AI would achieve in the 2020s. In just 70 years, we have had bots that can learn, solve complex computational problems, write related texts, generate images and music, and analyze tons of information in seconds.
What did you think of when you had a crush on someone? Did you fantasize about marriage with him/her? When you were in some serious relationship, did you plan marriage with your partner? How did the relationship turn out? Some relationships turn into a marriage, and some don’t. Hearing stories of many friends, I see extremely few people being in a relationship (and later marrying) with only one person whole over their life.
You've just released your new app into the wild, live in production. Success! Now what? Your job is done, right? Wrong. Now that you've deployed your code, it's time to monitor it, collect data, and analyze your metrics.
In his research, Gvido reported the discovery of neurons that showed a neural correlation to the price fluctuations of the main cryptocurrencies!
Modern fake news has evolved into a complex organism, carefully designed to hide its deceptive mechanisms from any potential victim. But although the fake news field has grown into every possible digital channel, the truth is that at its core, in order to be effective, it still relies on exploiting our most basic human characteristics.
You finally went live, congratulations! Now what?
There are many ways to quantify variability, however, here we will focus on the most common ones: variance, standard deviation, and coefficient of variation. In the field of statistics, we typically use different formulas when working with population data and sample data.
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