|
This book sets out to be a comprehensive guide to machine learning and deep learning with PyTorch, and to act as both a step-by-step tutorial and a reference. Sebastian Raschka and Yuxi (Hayden) Liu provide explanations, visualizations, and examples, to cover the essential machine learning techniques in depth. This new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).
<ASIN:1801819319>
The book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. It also covers generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning.
Author: Sebastian Raschka , Yuxi (Hayden) Liu
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial Intelligence
- Explore frameworks, models, and techniques for machines to 'learn' from data
- Use scikit-learn for machine learning and PyTorch for deep learning
- Train machine learning classifiers on images, text, and more
- Build and train neural networks, transformers, and boosting algorithms
- Discover best practices for evaluating and tuning models
- Predict continuous target outcomes using regression analysis
- Dig deeper into textual and social media data using sentiment analysis
For recommendations of books on Machine Learning see AI Books To Inspire You in our Programmer's Bookshelf section. It includes Python Machine Learning, 3rd Ed by Sebastian Raschka and Vahid Mirjalili which was given a 5-star rating by Mike James.
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.
SQL Query Design Patterns and Best Practices
Author: Steve Hughes et al
Publisher: Packt Publishing
Pages: 270
ISBN: 978-1837633289
Print: 1837633282
Kindle: B0BWRD7HQ7
Audience: Query writers
Rating: 2.5
Reviewer: Ian Stirk
This book aims to improve your SQL queries using design patterns, how does it fare?
|
Machines Like Me
Author: Ian McEwan
Publisher: Vintage, 2019
Pages: 304
ISBN: 978-1529111255
Print: 1529111250
Kindle: B07HR6SGQ9
Audience: General
Rating: 4.5
Reviewer: Mike James
A novel about a synthetic human has become so much more relevant recently and guess what - it features Alan Turing.
| | More Reviews |
|
