AI engineering books

It's great you're looking into AI engineering books! This is a rapidly evolving field, so staying up-to-date is crucial. Here's a breakdown of some notable books and areas they cover:

Key Areas and Recommended Books:

• Foundational AI and Machine Learning:
  • "Artificial Intelligence and Machine Learning Fundamentals": This book provides a solid foundation in core AI concepts and machine learning algorithms, often with practical Python examples.
  • For a more Deep Learning focused book, resources like the newer version of Bishop's book are highly recommended.
• AI Engineering Practices:
  • "AI Engineering: Building Applications with Foundation Models": This is a very pertinent book, as working with foundation models is a core part of modern AI engineering. It will cover how to build real world applications.
  • Chip Huyen's "AI Engineering (2024)" is also a highly recommended resource.
• AI Strategy and Impact:
  • "Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World": This book explores the strategic implications of AI for businesses and organizations.
  • "Life 3.0: Being Human in the Age of Artificial Intelligence": This book delves into the broader societal implications of AI, offering a thought-provoking perspective.
• Generative AI:
  • "Introduction to Generative AI [Book]": With generative AI being so prevalent, this type of book is very useful for understanding the core concepts.

Where to Find More:

• Routledge & CRC Press: They have a dedicated "Artificial Intelligence (AI) in Engineering" book series, covering various specialized applications of AI in engineering disciplines.
• Online Communities: Websites and forums like Hacker News often have discussions and recommendations on the latest AI engineering books and resources.

Important Considerations:

• The AI field is constantly changing, so look for recent publications.
• Consider your specific area of interest within AI engineering (e.g., machine learning, deep learning, AI applications, etc.) when choosing books.

I hope this helps!