The Supplementary Materials for the Machine Learning Q and AI book by Sebastian Raschka.

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Expand Your Machine Learning & AI Knowledge With 30 In-Depth Questions and Answers

Have you recently completed a machine learning or deep learning course and wondered what to learn next? This book covers 30 key concepts in machine learning and AI, providing bite-sized bits of knowledge for your journey to becoming a machine learning expert. Topics include:

• Multi-GPU training paradigms.
• Finetuning transformers.
• Differences between encoder- and decoder-style LLMs.
• Concepts behind vision transformers.
• Confidence intervals for ML.
• And many more!

Who Is This Book For?

Machine Learning Q and AI is for people who are already familiar with machine learning and want to learn something new. However, this is not a math or coding book. You won’t need to solve any proofs or run any code while reading. In other words, this book is a perfect travel companion or something you can read on your favorite reading chair with your morning coffee.