読者です 読者をやめる 読者になる 読者になる

機械学習関係の無料pdfの一覧

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A-Zあ-ん順です。 最近強化学習の本でよく行ったり来たりするので一旦メモ。読んだことあるものもないものもごっちゃになってます。2000年より古いものは消しました。

Bayesian Reasoning and Machine Learning

by Barber, D, published by Cambridge University Press

David Barber : Brml - Home Page browse

Computer Vision: Algorithms and Applications

by Richard Szeliski

Computer Vision: Algorithms and Applications

David MacKay: Information Theory, Pattern Recognition and Neural Networks

by David MacKay, published by Cambridge University Press

David MacKay: Information Theory, Pattern Recognition and Neural Networks: The Book

Deep Learning

by Ian Goodfellow and Yoshua Bengio and Aaron Courville, published by MIT Press

Deep Learning

Elements of Statistical Learning: data mining, inference, and prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman,

Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.

Introduction to Data Mining

by Pang-Ning Tan, Michael Steinbach, Vipin Kumar

Introduction to Data Mining

Introduction to Information Retrieval

by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, published by Cambridge University Press

Introduction to Information Retrieval

Reinforcement learning: : An Introduction

by Richard S. Sutton and Andrew G. Barto, published by MIT press

Sutton & Barto Book: Reinforcement Learning: An Introduction

Think Stats : Probability and Statistics for Programmers

by Allen B. Downey, published by O'Reilly Media.

Think Stats: Probability and Statistics for Programmers