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Welcome to the A-Guide-to_Data_Sciecne_from_mathematics wiki! This is a guide from mathematics to data science. It is expected to include the following topics:

1. the mathematical background of data science;
2. the advanced topics in data science. It is a self-taught and internet-based note. There are some important but not common topics including

• inverse Bayes formulae(IBF),
• topological data analysis(TDA),
• Anderson acceleration in the fixed point iteration. It is not easy to write a book in ADEPT way.