머신 러닝 관련 참고 문헌

텍스트 북

• Bishop, "Pattern Recognition and Machine Learning"
  • http://research.microsoft.com/en-us/um/people/cmbishop/prml/index.htm
• Barber, "Bayesian Reasoning and Machine Learning"
  • http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/181115.pdf
• Hastie, et al., "The Elements of Statistical Learning: Data Mining, Inference, and Prediction"
  • http://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
• MacKay, "Information Theory, Inference, and Learning Algorithms"
  • http://www.inference.phy.cam.ac.uk/itprnn/book.pdf
• Murphy, "Machine learning: a probabilistic perspective"
  • https://mitpress.mit.edu/books/machine-learning-0

scikit-learn 관련 도서

• Learning scikit-learn: Machine Learning in Python
  • Raúl Garreta, Guillermo Moncecchi
  • https://www.packtpub.com/big-data-and-business-intelligence/learning-scikit-learn-machine-learning-python
  • https://github.com/gmonce/scikit-learn-book
  • http://www.amazon.com/Learning-scikit-learn-Machine-Python/dp/1783281936

• Building Machine Learning Systems with Python
  • Willi Richert, Luis Pedro Coelho
  • https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-systems-python
  • https://github.com/luispedro/BuildingMachineLearningSystemsWithPython
  • http://www.amazon.com/Building-Machine-Learning-Systems-Python/dp/1782161406