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Reinforcement Learning : An Introduction

Deep Learning

Gaussian Processes for Machine Learning

Introduction to Online Convex Optimization, second edition

Introduction to Natural Language Processing

Foundations of Machine Learning

Introduction to Machine Learning

Machine Learning from Weak Supervision : An Empirical Risk Minimization Approach

Machine Learning in Non-Stationary Environments : Introduction to Covariate Shift Adaptation

Machine Learning for Data Streams : with Practical Examples in MOA

Introduction to Statistical Relational Learning

Foundations of Computer Vision

Machine learning: a probabilistic perspective

Machine learning for data streams: with practical examples in MOA

The Minimum Description Length Principle

Learning Kernel Classifiers : Theory and Algorithms

Causation, Prediction, and Search

Introduction to Machine Learning

Introduction to Machine Learning

Foundations of Machine Learning

Bioinformatics : The Machine Learning Approach

Introduction to Machine Learning

Semi-Supervised Learning

Graphical Models for Machine Learning and Digital Communication

The Minimum Description Length Principle

Learning Kernel Classifiers : Theory and Algorithms

Reinforcement Learning : An Introduction

Causation, Prediction and Search

Machine learning for data streams: with practical examples in MOA

Introduction to machine learning

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