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.
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
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
C# Programming, 3rd Ed (In Easy Steps)
Author: Mike McGrath Publisher: Easy Steps Date: April 2022 Pages: 192 ISBN: 978-1840789737 Print: 1840789735 Kindle: B09WPBZZCV Audience: C# developers Rating: 5 Reviewer: Mike James An easy guide to C# - what could be better.
|
Quick Start Guide to Large Language Models
Author: Sinan Ozdemir Publisher: Addison-Wesley Pages: 288 ISBN: 978-0138199197 Print: 0138199191 Kindle: B0CCTZMFWF Audience: LLM Beginners Rating: 5 Reviewer: Mike James We all want to know about LLMs, but how deep should you go?
| More Reviews |
|