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Writing Well and Being Well for Your PhD and Beyond: How to Cultivate a Strong and Sustainable Writing Practice for Life

Writing Well and Being Well for Your PhD and Beyond: How to ...

Katherine Firth

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

Python工匠:案例、技巧与工程实践

Python工匠:案例、技巧与工程实践

朱雷

The Design of Approximation Algorithms

The Design of Approximation Algorithms

David P. Williamson & David B. Shmoys

Publisher: MIT Press

Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition

Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Proof and the Art of Mathematics: Examples and Extensions

Proof and the Art of Mathematics: Examples and Extensions

Joel David Hamkins

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