Python Debugging for AI, Machine Learning, and Cloud Computing
By Dmitriy Vostokov
(2023, Apress, 256 pages, ISBN-13: 978-1484297445)

Python Debugging for AI, Machine Learning, and Cloud Computing by Dmitriy Vostokov is a must-have reference for developers working in AI, machine learning, and cloud computing. This book offers a deep dive into debugging techniques specifically tailored to complex computing environments and large data sets.

What’s Inside the Book?

The guide covers debugging techniques for Python code used in AI and ML models, as well as applications in cloud infrastructure. It starts with the basics and gradually introduces more advanced topics such as:

  • Resource management.
  • Application state monitoring.
  • Performance optimization.

You’ll learn how to identify and resolve complex code errors, which is especially important when working with big data and distributed systems. Each chapter includes practical examples and best practices to help you apply the techniques effectively.

Who Should Read This Book?

  • Beginners: Gain foundational debugging skills to enhance your programming abilities.
  • AI and ML Developers: Learn advanced debugging techniques specific to AI and machine learning.
  • Cloud Computing Specialists: Discover how to debug distributed applications in cloud environments.
  • Researchers: Optimize experimental code with the help of these techniques.

Pros and Cons of This Book

Pros:

  • Comprehensive coverage of debugging in AI, ML, and cloud computing.
  • Practical examples that can be applied directly in your projects.
  • Tips on modern tools and libraries for debugging.

Cons:

  • Requires a basic understanding of Python, which may pose a challenge for absolute beginners.
  • Some sections may be too technical for readers new to the subject.

About the Author

Dmitriy Vostokov is a globally recognized expert in software diagnostics, forensics, and prognostics. He founded the discipline of pattern-oriented software diagnostics and has over 30 years of experience in software architecture, design, and development across various industries.

For developers and researchers working in AI, machine learning, and cloud computing, Python Debugging for AI, Machine Learning, and Cloud Computing is an invaluable resource. Explore more Python and debugging resources at ThinkJava.net for a deeper dive into software development.

Categorized in:

Machine Learning, Python,

Last Update: October 2, 2024

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