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Reinforcement Learning, Second Edition: An Introduction

Richard S. Sutton Hardcover

$143.00

2 formats available

Deep Learning

Ian Goodfellow Hardcover

$131.00

2 formats available

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller Hardcover

$176.00

2 formats available

Probabilistic Machine Learning: Advanced Topics

Kevin P. Murphy Hardcover

$195.00

4 formats available

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making

Bin Yu Hardcover

$105.00

2 formats available

Learning Theory from First Principles

Francis Bach Hardcover

$105.00

2 formats available

Learning Kernel Classifiers: Theory and Algorithms

Ralf Herbrich Paperback

$79.00

Gaussian Processes For Machine Learning

Carl Edward Rasmussen Hardcover

$73.00

Learning With Kernels: Support Vector Machines, Regularization, Optimization, And Beyond

Bernhard Scholkopf Paperback

$119.00

Introduction To Statistical Relational Learning

Paperback

$79.00

Machine Learning: A Probabilistic Perspective

Kevin P. Murphy Hardcover

$163.00

2 formats available

Fairness and Machine Learning: Limitations and Opportunities

Solon Barocas Hardcover

$86.00

2 formats available

Knowledge Graphs: Fundamentals, Techniques, And Applications

Mayank Kejriwal Hardcover

$73.00

2 formats available

Elements Of Causal Inference: Foundations And Learning Algorithms

Jonas Peters Hardcover

$60.00

2 formats available

Introduction To Natural Language Processing

Jacob Eisenstein Hardcover

$99.00

2 formats available

Machine Learning for Data Streams: with Practical Examples in MOA

Albert Bifet Paperback

$73.00

3 formats available

Foundations Of Machine Learning, Second Edition

Mehryar Mohri Hardcover

$119.00

2 formats available

Machine Learning From Weak Supervision: An Empirical Risk Minimization Approach

Masashi Sugiyama Hardcover

$86.00

2 formats available

Introduction To Online Convex Optimization, Second Edition

Elad Hazan Hardcover

$79.00

2 formats available

Boosting: Foundations and Algorithms

Robert E. Schapire Paperback

$66.00

Introduction to Machine Learning, fourth edition

Ethem Alpaydin Kobo eBook

$95.99 ~~Price reduced from $119.99 to~~

2 formats available

Foundations of Computer Vision

Antonio Torralba Kobo eBook

$95.99 ~~Price reduced from $119.99 to~~

2 formats available

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy Hardcover

$157.00

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Reinforcement Learning, Second Edition: An Introduction

Deep Learning

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Machine Learning: Advanced Topics

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making

Learning Theory from First Principles

Learning Kernel Classifiers: Theory and Algorithms

Gaussian Processes For Machine Learning

Learning With Kernels: Support Vector Machines, Regularization, Optimization, And Beyond

Introduction To Statistical Relational Learning

Machine Learning: A Probabilistic Perspective

Fairness and Machine Learning: Limitations and Opportunities

Knowledge Graphs: Fundamentals, Techniques, And Applications

Elements Of Causal Inference: Foundations And Learning Algorithms

Introduction To Natural Language Processing

Machine Learning for Data Streams: with Practical Examples in MOA

Foundations Of Machine Learning, Second Edition

Machine Learning From Weak Supervision: An Empirical Risk Minimization Approach

Introduction To Online Convex Optimization, Second Edition

Boosting: Foundations and Algorithms

Introduction to Machine Learning, fourth edition

Foundations of Computer Vision

Machine Learning, Second Edition: A Probabilistic Perspective

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Adaptive Computation and Machine Learning series

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Reinforcement Learning, Second Edition: An Introduction

Deep Learning

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Machine Learning: Advanced Topics

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making

Learning Theory from First Principles

Learning Kernel Classifiers: Theory and Algorithms

Gaussian Processes For Machine Learning

Learning With Kernels: Support Vector Machines, Regularization, Optimization, And Beyond

Introduction To Statistical Relational Learning

Machine Learning: A Probabilistic Perspective

Fairness and Machine Learning: Limitations and Opportunities

Knowledge Graphs: Fundamentals, Techniques, And Applications

Elements Of Causal Inference: Foundations And Learning Algorithms

Introduction To Natural Language Processing

Machine Learning for Data Streams: with Practical Examples in MOA

Foundations Of Machine Learning, Second Edition

Machine Learning From Weak Supervision: An Empirical Risk Minimization Approach

Introduction To Online Convex Optimization, Second Edition

Boosting: Foundations and Algorithms

Introduction to Machine Learning, fourth edition

Foundations of Computer Vision

Machine Learning, Second Edition: A Probabilistic Perspective

Recently Viewed