Machine Learning Q and AI (No Starch Press)
Monday, 28 October 2024

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

 

mlqai

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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