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Welcome to Docker

From Docker in Action, Second Edition by Jeff Nickoloff and Stephen Kuenzli

This article gives you a rundown of what Docker in and what problems it solves.

The Computer Vision Pipeline, Part 4: feature extraction

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will take a look at feature extraction—a core component of the computer vision pipeline.

Save Valuable Computing Time

From Parallel and High Performance Computing by Robert Robey and Yuliana Zamora

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Combining Human and Machine Intelligence

From Human-in-the-Loop Machine Learning by Robert Munro


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Refine your Testing Regimen

From Unit Testing: Principles, Patterns and Practices by Vladimir Khorikov


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Maximise Customer Retention

From Fighting Churn with Data by Carl Gold


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Safe and Scalable APIs at Your Fingertips

From API Security in Action by Neil Madden


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The Singleton Lifestyle

From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann

This articles explains the Singleton Lifestyle: what it is and what it means for your code.

Is my Problem a Graph Problem?

From Graph Databases in Action by Dave Bechberger

In this article, we’ll review what makes a problem a good graph use case. We’ll start by examining a few general categories of problems and discussing why they might make for good graph use case.  Finally, we’ll analyze a general framework that we can use to help us decide if our problem is a good graph use case.

Writing Fuzz Tests in Elm

From Elm in Action by Richard Feldman

This article deals with writing fuzz tests in Elm.

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