Item Tag: O'Reilly

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. Focusing on the subject area of computers, this book explores data modeling and design, as well as desktop applications and databases. With 614 pages, it offers valuable insights and practical guidance for designing data-intensive applications that are both reliable and scalable. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of computer science.

Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

“Designing Machine Learning Systems” by Chip Huyen is a new trade paperback textbook published in 2022 by O’Reilly. This book is focused on the subject area of computers, specifically addressing topics in machine theory, enterprise applications, and AI & semantics. Written in English, this textbook offers insights and practical guidance on designing machine learning systems for various applications. With the expertise of the author, Chip Huyen, this publication is a valuable resource for those interested in deepening their understanding of machine learning and its practical implications in business intelligence tools.

Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

“Designing Machine Learning Systems” by Chip Huyen is a new textbook published in 2022 by O’Reilly. Written in English and available in trade paperback format, this book is perfect for those interested in the subject areas of machine theory, enterprise applications, and artificial intelligence. Huyen’s expertise in the field of machine learning makes this book a valuable resource for students and professionals looking to enhance their understanding of these complex topics.