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Automated Machine Learning in Action

Language EnglishEnglish
Book Paperback
Book Automated Machine Learning in Action Haifeng Jin
Libristo code: 36512613
Publishers Manning Publications, June 2022
Optimize every stage of your machine learning pipelines with powerful automation components and cutt... Full description
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65.74 €
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Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner.

In Automated Machine Learning in Action you will learn how to:

  • Improve a machine learning model by automatically tuning its hyperparameters
  • Pick the optimal components for creating and improving your pipelines
  • Use AutoML toolkits such as AutoKeras and Keras Tuner
  • Design and implement search algorithms to find the best component for your ML task
  • Accelerate the AutoML process with data-parallel, model pre-training, and other techniques

Automated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks.It''s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. You''ll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices!

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About the book

Full name Automated Machine Learning in Action
Author Haifeng Jin, Xia Hu
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 300
EAN 9781617298059
ISBN 1617298050
Libristo code 36512613
Publishers Manning Publications
Weight 626
Dimensions 235 x 188 x 24

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Natural language & machine translation
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Computing & Information Technology > Computer science > Artificial intelligence > Neural networks & fuzzy systems
Computing & Information Technology > Computer programming / software engineering > Software Engineering
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