Automated Machine Learning in Action by Qingquan Song - ISBN: 9781617298059
Paperback
Automate ML pipelines, optimize models, and become a machine learning master.

Automated Machine Learning in Action

$125.56

  • Paperback

    300 pages

  • Release Date

    1 June 2022

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Summary

Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in Action, filled with hands-on examples and written in an accessible style, reveals how premade machine learning components can automate time-consuming ML tasks.

Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data prepara…

Book Details

ISBN-13:9781617298059
ISBN-10:1617298050
Author:Qingquan Song, Haifeng Jin, Xia Hu
Publisher:Manning Publications
Imprint:Manning Publications
Format:Paperback
Number of Pages:300
Release Date:1 June 2022
Weight:620g
Dimensions:234mm x 186mm x 22mm
What They're Saying

Critics Review

“Automating automation itself is a new concept and this book does justice to it in terms of explaining the concepts, sharing real world advancements, use cases and research related to the topic. “ Satej KumarSahu

“A book with a lot of promise, covering a topic that’s like to become hot in the next year or so. Read this now, and get ahead of the curve!” RichardVaughan

“A nice introduction to AutoML, its ambitions, and challenges bothin theory and in practice.” Alain Couniot

“Helps you to clearly understand the process of Machine Learning automation. The examples are clear, concise, and applicable to the real world.”Walter Alexander Mata López

“The author’s friendly style makes novices feel ready to try outAutoML tools.” Gaurav Kumar Leekha

“A great book to take your machine learning skills to the next level.” Harsh Raval

“An impressive effort by the authors to break down a complex MLtopic into understandable chunks.” Venkatesh Rajagopal

About The Author

Qingquan Song

Qingquan Song, Haifeng Jin, and Dr. Xia “Ben” Hu are the creators of the AutoKeras automated deep learning library. Qingquan and Haifeng are PhD students at Texas A&M University, and have both published papers at major data mining conferences and journals. Dr. Hu is an associate professor at Texas A&M University in the Department of Computer Science and Engineering, whose work has been utilized by TensorFlow, Apple, and Bing.

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