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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
Published by Packt Publishing (edition ), 2021
ISBN 10: 1800567685 ISBN 13: 9781800567689
Language: English
Paperback. Condition: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Paperback or Softback. Condition: New. Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient 0.6. Book.
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International Edition
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
ISBN 10: 1484283996 ISBN 13: 9781484283998
Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms (Paperback or Softback)
Published by Packt Publishing 2/18/2021, 2021
ISBN 10: 1800567685 ISBN 13: 9781800567689
Language: English
Paperback or Softback. Condition: New. Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms 1.19. Book.
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Hyperparameter Optimization in Machine Learning : Make Your Machine Learning and Deep Learning Models More Efficient
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Add to basketPaperback. Condition: Brand New. 166 pages. 9.00x6.00x0.50 inches. In Stock.
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
Published by Packt Publishing 2021-02-18, 2021
ISBN 10: 1800567685 ISBN 13: 9781800567689
Language: English
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Hyperparameter Optimization in Machine Learning : Make Your Machine Learning and Deep Learning Models More Efficient
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Hyperparameter Optimization in Machine Learning
Published by Apress, Apress Nov 2020, 2020
ISBN 10: 1484265785 ISBN 13: 9781484265789
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods.This is a step-by-step guide to hyperparameter optimization, starting with what hyperparameters are and how they affect different aspects of machine learning models. It then goes through some basic (brute force) algorithms of hyperparameter optimization. Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. Next yoüll discuss Bayesian optimization for hyperparameter search, which learns from its previous history.The book discusses different frameworks, such as Hyperopt and Optuna, which implements sequential model-based global optimization (SMBO) algorithms. During these discussions, yoüll focus on different aspects such as creation of search spaces and distributed optimization of these libraries.Hyperparameter Optimization in Machine Learning creates an understanding of how these algorithms work and how you can use them in real-life data science problems. The final chapter summaries the role of hyperparameter optimization in automated machine learning and ends with a tutorial to create your own AutoML script.Hyperparameter optimization is tedious task, so sit back and let these algorithms do your work.What You Will LearnDiscover how changes in hyperparameters affect the model¿s performance.Apply different hyperparameter tuning algorithms to data science problemsWork with Bayesian optimization methods to create efficient machine learning and deep learning modelsDistribute hyperparameter optimization using a cluster of machinesApproach automated machine learning using hyperparameter optimizationAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 188 pp. Englisch.
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Automated Machine Learning Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
Published by Packt Publishing Limited, 2021
ISBN 10: 1800567685 ISBN 13: 9781800567689
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Hyperparameter Optimization in Machine Learning
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 70.24
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods.This is a step-by-step guide to hyperparameter optimization, starting with what hyperparameters are and how they affect different aspects of machine learning models. It then goes through some basic (brute force) algorithms of hyperparameter optimization. Further, the author addresses the problem of time and memory constraints, using distributed optimization methods. Next you'll discuss Bayesian optimization for hyperparameter search, which learns from its previous history. The book discusses different frameworks, such as Hyperopt and Optuna, which implements sequential model-based global optimization (SMBO) algorithms. During these discussions, you'll focus on different aspects such as creation of search spaces and distributed optimization of these libraries. Hyperparameter Optimization in Machine Learning creates an understanding of how these algorithms work and how you can use them in real-life data science problems. The final chapter summaries the role of hyperparameter optimization in automated machine learning and ends with a tutorial to create your own AutoML script.Hyperparameter optimization is tedious task, so sit back and let these algorithms do your work.What You Will LearnDiscover how changes in hyperparameters affect the model's performance.Apply different hyperparameter tuning algorithms to data science problemsWork with Bayesian optimization methods to create efficient machine learning and deep learning modelsDistribute hyperparameter optimization using a cluster of machinesApproach automated machine learning using hyperparameter optimizationWho This Book Is ForProfessionals and students working with machine learning. 188 pp. Englisch.
