From Knative in Action by Jacques Chester
From Machine Learning Bookcamp by Alexey Grigorev
| From JUnit in Action, Third Edition by Catalin Tudose
This article discusses some of the most important new additions in Junit 5. |
From Operations Anti-Patterns: DevOps Solutions by Jeffery D. Smith
From Machine Learning with TensorFlow, Second Edition by Chris A. Mattmann
From Succeeding with AI by Veljko Krunic
Focused human involvement and attention makes or breaks an AI project. This article discusses the first questions you should ask in the context of every AI project, as well as the most important ideas to keep in mind during any AI project.
From Deep Learning with PyTorch by Eli Stevens and Luca Antiga
This article explores the use and capabilities of GANs, using a fictional (and inadvasible) example of aspiring art forgers.
From Penetrating Enterprise Networks by Royce Davis
This article describes penetration testing: what it is and why a company might want a penetration test. We will also delve into the job of the penetration tester.
From Unit Testing, Principles, Practices, and Patterns by Vladimir Khorikov
In this article I’ll give you a refresher on some basic topics. I’ll go over the structure of a typical unit test, which is usually represented by the Arrange-Act-Assert pattern. I’ll also show the unit testing framework of my choice — xUnit — and explain why I’m using it and not one of its competitors.
From Terraform in Action by Scott Winkler
This article discusses how we can improve a Mad Libs generator using expressions.