Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
by Tarek Amr
English | 2020 | ISBN: 1838826041 | 368 Pages | PDF EPUB | 23 MB
by Tarek Amr
English | 2020 | ISBN: 1838826041 | 368 Pages | PDF EPUB | 23 MB
The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You'll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you'll gain a thorough understanding of its theory and learn when to apply it. As you advance, you'll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms.