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Commits on Mar 13, 2016

• discussion board

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Commits on Mar 12, 2016

• linewidths and pep8 check

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Commits on Mar 9, 2016

• mit license

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• faq: What is wrong when my neural network's error increases?

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Commits on Mar 7, 2016

• Merge pull request #4 from MTietze/patch-1

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• fix faq typo

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• swap x/y labels in img

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Commits on Mar 3, 2016

• unicef donation

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• data preprocessing vs engineering

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• the puprose of the `return self` idioms in my code examples

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Commits on Mar 2, 2016

• how to select svm kernels

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• difference between filter, wrapper, and embedded methods for feature selection

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Commits on Feb 21, 2016

• faq: analytical solution to Logistic Regression similar to the Normal Equation for Linear Regression?

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• faq: difference between cost and loss functions

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• faq: What is the difference between a *cost function* and a *loss function* in machine learning?

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• conf matrix clarification

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Commits on Feb 20, 2016

• p 131 eigenvalue -> eigenvector

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Commits on Feb 17, 2016

• What are the best toy datasets to help visualize and understand classifier behavior?

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• What are the advantages of semi-supervised learning

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Commits on Feb 15, 2016

• faq enhancement logistic generalized linear model

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• link to google books

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• errata upd. p.32,85,149,226

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Commits on Feb 14, 2016

• link fixes in readme

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• softmax regression

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• When can a random forest perform terribly?

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• faq: Is R used extensively today in data science?

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• faq: How can I know if Deep Learning works better for a specific problem than SVM or random forest?

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Commits on Feb 13, 2016

• What is Softmax regression and how is it related to Logistic regression?

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Commits on Feb 12, 2016

• What are machine learning and data science?

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Commits on Feb 11, 2016

• overcoming mardkown limitation in new logreg faq

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• equation correction

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• faq: Why is logistic regression considered a linear model?

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Commits on Feb 10, 2016

• typo fixes in the jupyter instructions

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• add linebreaks for clarity

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• faq: Why do we need to re-use training parameters to transform test data?

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