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Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This
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Learn How to Make Your Own Recommender System in an Afternoon. Recommender systems are one of the most visible applicat
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Why was this book written? Machine learning is a vast topic if you look at the various disciplines originating from it.
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As the complexity of today's networked computer systems grows, they become increasingly difficult to understand, pr
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This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that ca
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Develop and Implement your own Machine Learning Models to solve real world problems Key Features ● Introduction to Mach
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Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated metho
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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in
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