Automated machine learning in action

By:

Song, Qingguan

Contributor(s):

Material type: Text

TextPublication details: New York: Manning Publications Co., 2022.Description: xxii, 312pISBN:

9781617298059

Subject(s):

DDC classification:

006.31 SON SON

Summary: Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. 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. AutoML can even be implemented by machine learning novices! If you’re new to ML, you’ll appreciate how the book primes you on machine learning basics. Experienced practitioners will love learning how automated tools like AutoKeras and KerasTuner can create pipelines that automatically select the best approach for your task, or tune any customized search space with user-defined hyperparameters, which removes the burden of manual tuning.

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Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi General stacks	006.31 SON (Browse shelf(Opens below))	Available	22148

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Previous		No cover image available						Next
Previous	006.3 YAN Artificial intelligence and games	006.303 ENC Encyclopedia of artificial intelligence : the past, present, and future of AI	006.31 JUN Machine learning : the basics	006.31 SON Automated machine learning in action	006.31 TEO Artificial intelligence with python	006.312 AGG Machine learning for text	006.312 PLA Data science : an introduction to statistics and machine learning	Next

Includes index.

Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. 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. AutoML can even be implemented by machine learning novices! If you’re new to ML, you’ll appreciate how the book primes you on machine learning basics. Experienced practitioners will love learning how automated tools like AutoKeras and KerasTuner can create pipelines that automatically select the best approach for your task, or tune any customized search space with user-defined hyperparameters, which removes the burden of manual tuning.

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