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This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and

Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing task

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted