MASTERING MACHINE LEARNING ALGORITHMS.
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Description
Table of ContentsMachine Learning Model Fundamentals Introduction to Semi-Supervised Learning Graph-based Semi-Supervised Learning Bayesian Networks and Hidden Markov Models EM algorithm and applications Hebbian Learning Advanced Clustering and Feature Extraction Ensemble Learning Neural Networks for Machine Learning Advanced Neural Models Auto-Encoders Generative Adversarial Networks Deep Belief NetworksIntroduction to Reinforcement Learning Policy estimation algorithms
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