Good Machine

Discover how combining machine learning with microservices architecture enables scalable, high-performance systems by leveraging modular design, efficient data 

When ML Meets Microservices: Engineering for Scalability and Performance

Thus, therefore, the machine-maker is himself interested in giving the first advantage of any new improvement to his own countrymen.

On the Exportation of Machinery

David Mahdi gives advice on how identity-first security helps prevent no-click malware attacks from succeeding.



No-Click Malware Is Here: Why Enterprises Must Prioritize Identity-First Security

The gate closes upon him with a slam, and he vanishes from our ken.


THE ENVOY

Use this checklist to see if your workspace is a good place to be, or if it's time to move on.

How to Decide Whether to Leave or Stay at Your Current Workplace During the Great Resignation

Google uses it to provide millions of search results every hour. It helps Facebook guess your next love interest. Even Elon Musk’s Tesla uses it to make self-dr

Machine Learning Explained in 5 Minutes

How To Make A Great Chatbot From Scratch Expert tips to create a highly functional chatbot.

How To Make A Chatbot From Scratch

With the rise of <a href="https://blog.goodaudience.com/artificial-intelligence-karl-marx-communist-utopia-4da76cb0bd42" target="_blank">artificial intelligence</a> (AI), the demand for machine learning capabilities has increased dramatically. A vast array of industries from finance to health are seeing an uptake of machine learning-based technology. Yet, defining <a href="https://becominghuman.ai/a-guide-to-deploying-machine-learning-models-ed476532ce89" target="_blank">machine learning models</a> remains a complex and resource-intensive endeavour for most businesses and organizations. The challenges can be reduced with the help of a good machine learning framework.

Open-Source Frameworks for Creating Machine Learning Models

Earlier this year (May 2018) Microsoft announced <a href="https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet" target="_blank">ML.NET</a>, an open source and cross-platform machine learning framework built for&nbsp;.NET developers. It is exciting news to be able to integrate custom machine learning with&nbsp;.NET/C# applications. Although ML.NET is still in preview release version 0.5.0 at the time of writing, you can test drive it to explore the potential power of the framework.

ML.NET Sentiment Analysis with MongoDB

The common goal of feature extraction is to represent the raw data as a reduced set of features that better describe their main features and attributes [1]. This way, we can reduce the dimensionality of the original input and use the new features as an input to train pattern recognition and classification techniques.

Image Feature Extraction: Local Binary Patterns with Cython

<a href="https://themenyouwanttobe.wordpress.com/2018/08/20/data-science-resources/" target="_blank">August 20, 2018</a>

Data Science Resources

What do you do when you are facing a tough problem? Get a cup of coffee, buckle down and prepare for a long night? Break out the library books, or an excel spreadsheet? Grit your teeth and prepare for a hard slog?

Geniuses Are Lazy — and You Should Be Too

Journalists love stories about AI. It allows them to come up with titles like “<a href="https://www.engadget.com/2017/07/25/deepmind-create-ai-imagination/" target="_blank">machines use imagination to solve problems</a>” and “<a href="https://techcrunch.com/2016/11/22/googles-ai-translation-tool-seems-to-have-invented-its-own-secret-internal-language/" target="_blank">neural network invents language</a>”. An alien reading those stories would think that humans have finally cracked it. We must be in some golden age of computing. That same alien would be shocked to find out that at any given office on any given day the problems are much more along the lines of “my CMS is driving me crazy; where is the image I uploaded?”, “I can’t download my emails again” and “I wish there was a CRM that actually worked!”. How come AI is not solving all these problems?

3 things every company should do to prepare for the AI revolution.

I’m keen on the idea of Idea People; and especially the Business of Ideas. I believe that idea discovery, idea articulation, idea presentation, idea optimization and idea distribution are all scientific and artful, in equal measures.

How idea people thrive in an age of artificial intelligence and automation

Learn how to build a strong personal brand as a developer with this comprehensive guide. Discover steps to identify your strengths, create valuable content. 

Here's How Developers Can Build Their Own Personal Brand

You know how it goes. You're desperately trying to think of a good present for the hacker in your life. This list will give you the inspiration you need.

5 Budget Christmas Presents for the Cybersecurity Pro You Know (And 5 Hacker ‘Luxury’ Items)

A selected review of the most frustratingly pointless smart life devices available today.

5 Most Pointless Smart Life Devices to Stay Away From

How did Blackberry fail? The good, the bad, and the ugly days of Blackberry. A faint tech company with millions of units sold and failed miserably, Why?

Why Did Blackberry Fail? 

You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.

How To Get Started With Machine Learning With The Right Mindset

Anyone with a wet finger in the air will by now have heard of the “retail apocalypse” sweeping through the developed world’s malls. “People aren’t spending in stores anymore”, your quarter-informed uncle complains, before moaning that youths are too busy Instagramming their avocado brunches to burn crosses on people’s lawns. Indeed, the old retailing models aren’t working as well as they used to. The fact that they were terrible models to start with probably had something to do with it.

A beginner’s guide to Computer Vision in Retail

Generating an immeasurable amount of data has become a need to develop more advanced and sophisticated machine learning techniques. Boosting machine learning is one such technique that can be used to solve complex data-driven real-world problems.


A Complete Guide to XGBoost Model in Python using scikit-learn

This is a story of the journey I went through. I wanted to design a machine learning system that would tell me whether I can snooze in the morning and still arrive on time for work.

Can I Snooze: building an image recognition system to sleep a little longer

Bitcoin beats AI not only in value over time, but in ethos and meeting needs. The US is 2nd place in the AI race with China but could lead with Bitcoin.

How the USA Could Beat China in the AI Race (Hint: It Doesn't)

Explore the Information security careers amidst increasing cyber threats and the challenges posed by online abuse on social media platforms. 

Digital Stewardship: Navigating the Information Security Career Landscape Amid Rising Online Abuse

Good Machine is a startup studio building clean-tech solutions for a regenerative world

GOOD MACHINE

goodmachine.studio

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Since 2019

Good Machine's stories on HackerNoon

When ML Meets Microservices: Engineering for Scalability and Performance

On the Exportation of Machinery

No-Click Malware Is Here: Why Enterprises Must Prioritize Identity-First Security

THE ENVOY

How to Decide Whether to Leave or Stay at Your Current Workplace During the Great Resignation

Machine Learning Explained in 5 Minutes

How To Make A Chatbot From Scratch

Open-Source Frameworks for Creating Machine Learning Models

ML.NET Sentiment Analysis with MongoDB

Image Feature Extraction: Local Binary Patterns with Cython

Data Science Resources

Geniuses Are Lazy — and You Should Be Too

3 things every company should do to prepare for the AI revolution.

How idea people thrive in an age of artificial intelligence and automation

Here's How Developers Can Build Their Own Personal Brand

5 Budget Christmas Presents for the Cybersecurity Pro You Know (And 5 Hacker ‘Luxury’ Items)

5 Most Pointless Smart Life Devices to Stay Away From

Why Did Blackberry Fail?

How To Get Started With Machine Learning With The Right Mindset

A beginner’s guide to Computer Vision in Retail

A Complete Guide to XGBoost Model in Python using scikit-learn

Can I Snooze: building an image recognition system to sleep a little longer

How the USA Could Beat China in the AI Race (Hint: It Doesn't)

Digital Stewardship: Navigating the Information Security Career Landscape Amid Rising Online Abuse

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