Subtitled "30 Essential Questions and Answers on Machine Learning and AI", this book was born out of questions often fielded by author Sebastian Raschka, who takes a direct, no-nonsense approach to make advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.

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Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 718503768
Kindle: B0CKKXCK3T
Audience: Q developers interested in AI
Level: Intermediate
Category: Artificial Intelligence

Topics include:

• Manage the various sources of randomness in neural network training
• Differentiate between encoder and decoder architectures in large language models
• Reduce overfitting through data and model modifications
• Construct confidence intervals for classifiers and optimize models with limited labeled data
• Choose between different multi-GPU training paradigms and different types of generative AI models
• Understand performance metrics for natural language processing
• Make sense of the inductive biases in vision transformers

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