Hyperparameter Optimization in Machine Learning

Language: English

Published by Apress, Apress Nov 2020, 2020

1484265785 / 9781484265789

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This item is printed on demand - Print on Demand Titel. 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 optimizationSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.…

Seller Inventory # 9781484265789

Title
Hyperparameter Optimization in Machine Learning
Author
Tanay Agrawal
Publisher
Apress, Apress Nov 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1484265785
ISBN 13
9781484265789
Item weight
295 grams
Dimensions
235x155x11 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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