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ML Resources

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Data Cleaning & Mining

  • - Ihab F.Illyas, Xu Chu (PDF)

  • - Springer(PDF)

Machine Learning

  • - Osvaldo Simeone (PDF)

  • (PDF)

  • (PDF)

  • - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

  • - Ian Goodfellow, Yoshua Bengio and Aaron Courville

  • - Amnon Shashua

  • - Jupyter Notebooks

  • (PDF)

  • (Draft, with R code)

  • - Richard S. Sutton, Andrew G. Barto (PDF)

  • - Daniel Jurafsky, James H. Martin (PDF)

  • - Trevor Hastie, Robert Tibshirani, and Jerome Friedman

  • - Roberto Battiti, Mauro Brunato (PDF)

A Brief Introduction to Machine Learning for Engineers
Data Mining - The Textbook
A Brief Introduction to Machine Learning for Engineers
A Brief Introduction to Neural Networks
A Course in Machine Learning
A First Encounter with Machine Learning
An Introduction to Statistical Learning
Bayesian Reasoning and Machine Learning
Deep Learning
Gaussian Processes for Machine Learning
Information Theory, Inference, and Learning Algorithms
Introduction to Machine Learning
Learn Tensorflow
Learning Deep Architectures for AI
Machine Learning
Machine Learning, Neural and Statistical Classification
Neural Networks and Deep Learning
Probabilistic Models in the Study of Language
Reinforcement Learning: An Introduction (Draft)
Speech and Language Processing (3rd Edition Draft)
The Elements of Statistical Learning
The LION Way: Machine Learning plus Intelligent Optimization
The Python Game Book