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Sebastian Raschka, 2015
Python Machine Learning

References & Resources

A list of references as they appear throughout the chapters.

A BibTeX version for your favorite reference manager is available here.



Chapter 1: Machine Learning - Giving Computers the Ability to Learn from Data 

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Chapter 2: Training Simple Machine Learning Algorithms for Classification

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  • W. S. McCulloch and W. Pitts. A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics, 5(4):115–133, 1943.

  • F. Rosenblatt. The perceptron, a perceiving and recognizing automaton Project Para. Cornell Aeronautical Laboratory, 1957.

  • B. Widrow. Adaptive ”Adaline” neuron using chemical ”memistors”. Number Technical Report 1553-2. Stanford Electron. Labs., Stanford, CA, October 1960.

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Chapter 3: A Tour of Advanced Machine Learning Classifiers Using Scikit-Learn

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  • L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and regression trees. wadsworth. Belmont, CA, 1984.

  • L. Breiman. Random forests. Machine learning, 45(1):5–32, 2001.

  • P. Cunningham and S. J. Delany. k-nearest neighbour classifiers. Multiple Classifier Systems, pages 1–17, 2007.



Chapter 4: Building Good Training Sets – Data Pre-Processing 

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Chapter 5: Compressing Data via Different Dimensionality Reduction Techniques

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Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Optimization 

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Chapter 7: Combining Different Models for Ensemble Learning

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Chapter 8: Applying Machine Learning to Sentiment Analysis 

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Chapter 9: Embedding a Machine Learning Model into a Web Application 

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Chapter 10: Predicting Continuous Target Variables with Regression Analysis 

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Chapter 11: Working with Unlabeled Data – Clustering Analysis  

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Chapter 12: Training Artificial Neural Networks for Image Recognition

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Chapter 13: Parallelizing Neural Network Training with Theano

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  • J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio. Theano: A cpu and gpu math compiler in python. In Proc. 9th Python in Science Conf, pages 1–7, 2010.
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Additional Resources & Further Reading