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Machine Learning Pdf This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. The main objective of this textbook is to provide students, engineers, and scientists with practical established tools from mathematical statistics and nonlinear optimization theory to sup port the analysis and design of both existing and new state of the art machine learning algorithms. 1understand statistical fundamentals of machine learning. overview of unsupervised learning. supervised learning. 2understand difference between generative and discriminative learning frameworks. 3learn to identify and use appropriate methods and models for given data and task. To provide an introduction to new trends in machine learning, fundamentals of deep learning and reinforcement learning are covered with suitable examples to teach you state of the art techniques.
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