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Machine Learning

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Statistical Learning Theory[3]

The Elements of Statistical Learning
Author: Hastie, Tibshirani and Friedman   Language:
The Elements of Statistical Learning During the past decade has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. . . . . .
Pattern Recognition and Machine Learning
Author: Christopher M. Bishop  Language:
This new textbook reflects these recent developments while providing a compre- hensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates . . . . .
A Course in Machine Learning
Author: Hal Daume III  Language:
A Course in Machine Learning The purpose of this book is to provide a gentle and pedagogically orga- nized introduction to the field. This is in contrast to most existing ma- chine learning texts, which tend to organize thi . . . . .
Deep Learning Tutorial
Author: LISA lab, University of Montreal  Language:
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. See the . . . . .
Machine Learning and Data Mining Lecture Notes
Author: Aaron Hertzmann and David Fleet  Language:
Contents: Introduction to Machine Learning; Linear Regression; Nonlinear Regression; Quadratics; Basic Probability Theory; Probability Density Functions; Estimation; Classification; Gradient Descent; . . . . .
Introduction to Machine Learning
Author: Amnon Shashua  Language:
Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimen . . . . .
Lecture Notes in Machine Learning
Author: Zdravko Markov  Language:
Contents: Introduction; Concept learning; Languages for learning; Version space learning; Induction of Decision trees; Covering strategies; Searching the generalization/specialization graph; In . . . . .
Reinforcement Learning: An Introduction
Author: Richard S. Sutton and Andrew G. Barto  Language:
Reinforcement Learning: An Introduction This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it w . . . . .

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