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  • Book Overview & Buying How to Test a Time Machine
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How to Test a Time Machine

How to Test a Time Machine

By : Noemí Ferrera
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How to Test a Time Machine

How to Test a Time Machine

4 (5)
By: Noemí Ferrera

Overview of this book

From simple websites to complex applications, delivering quality is crucial for achieving customer satisfaction. How to Test a Time Machine provides step-by-step explanations of essential concepts and practical examples to show you how you can leverage your company's test architecture from different points in the development life cycle. You'll begin by determining the most effective system for measuring and improving the delivery of quality applications for your company, and then learn about the test pyramid as you explore it in an innovative way. You'll also cover other testing topics, including cloud, AI, and VR for testing. Complete with techniques, patterns, tools, and exercises, this book will help you enhance your understanding of the testing process. Regardless of your current role within development, you can use this book as a guide to learn all about test architecture and automation and become an expert and advocate for quality assurance. By the end of this book, you'll be able to deliver high-quality applications by implementing the best practices and testing methodologies included in the book.
Table of Contents (19 chapters)
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1
Part 1 Getting Started – Understanding Where You Are and Where You Want to Go
6
Part 2 Changing the Status – Tips for Better Quality
10
Part 3 Going to the Next Level – New Technologies and Inspiring Stories
Appendix – Self-Assessment

Core concepts of AI

In the previous section, we saw one of the AI definitions that relates AI to automation. However, the most commonly used definition for AI is that of Arthur Samuel:

Artificial intelligence – Arthur Samuel, 1959

AI gives “computers the ability to learn without being explicitly programmed.

This definition, while being more general about the “what,” is more specific and restrictive about the “how” than the one mentioned in the previous section. It sets the goal of AI to learn on its own rather than appear smart as we could make it seem in the previous chapter by programming rules. This apparently subtle difference is the common base for debate in the scientific community and it is likely to get more and more restrictive as the techniques and machines advance toward the goal of intelligence per se.

There are different areas in AI. To continue with the topic of machine learning, let us define it:

Machine...

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