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Information Retrieval: Implementing and Evaluating Search Engines

Information Retrieval: Implementing and Evaluating Search Engines

Stefan Buttcher & Charles L. A. Clarke & Gordon V. Cormack

Combinatorial Optimization: Theory and Algorithms

Combinatorial Optimization: Theory and Algorithms

Bernhard Korte & Jens Vygen

Algorithms and Combinatorics (1)

Physics-based Deep Learning

Physics-based Deep Learning

N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...

Pen and Paper Exercises in Machine Learning

Pen and Paper Exercises in Machine Learning

Michael U. Gutmann

Publisher: MIT Press

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

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition

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

Proof and the Art of Mathematics: Examples and Extensions

Proof and the Art of Mathematics: Examples and Extensions

Joel David Hamkins

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

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

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