
Automated Machine Learning in Action
$125.56
- Paperback
300 pages
- Release Date
1 June 2022
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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