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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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• link and typo fix in faq

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• faq: why KNN is *lazy*

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Commits on Feb 9, 2016

• added IPython/Jupyter notebook setup instructions

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Commits on Feb 5, 2016

• added amazon review

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Commits on Feb 3, 2016

• wine data desc

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• added additional dataset descriptions

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Commits on Feb 1, 2016

• fixing a broken section link

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• mlxtend note

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Commits on Jan 29, 2016

• Merge branch 'master' of https://github.com/rasbt/python-machine-learning-book

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• errata upd. p.72

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• definition of data science

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• parametric vs. nonparametric

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Commits on Jan 28, 2016

• shrank repo size from ~500 mb to 50 mb by moving errata to external view source

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• remove redundant line from ipynb

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Commits on Jan 27, 2016

• raise correct error in ensemble classifier

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Commits on Jan 25, 2016

• added alternative links to UCI datasets

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