Thoughtful machine learning with Python: a test-driven approach
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Description
Probably approximately correct software -- A quick introduction to machine learning -- K-nearest neighbors -- Naive Bayesian classification -- Decision trees and random forests -- Hidden Markov models -- Support vector machines -- Neural networks -- Clustering -- Improving models and data extraction -- Putting it together: conclusion. Probably approximately correct software -- A quick introduction to machine learning -- K-nearest neighbors -- Naive Bayesian classification -- Decision trees and random forests -- Hidden Markov models -- Support vector machines -- Neural networks -- Clustering -- Improving models and data extraction -- Putting it together: conclusion.
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