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Learning Materials
Books and Articles
Books and Articles
This is a comprehensive collection of any books, articles and other reading material used within the Masters. This list may change and evolve as I work through the program.
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Learn Python the Hard Way
Zed Shaw
Naked Statistics
Charles Wheelan
Practical Statistics for Data Scientists
Peter Bruce and Andrew Bruce
Introduction to Machine Learning with Python: A Guide for Data Scientists
Sarah Guido and Andreas Mueller
Artificial Intelligence: A Modern Approach
Peter Norvig and Steven Russell
Deep Learning with Python
François Chollet
The Hundred-Page Machine Learning Book
Andriy Burkov
Introduction to Integrals
AP Integrals Crash Course
Linear Algebra Essentials with Numpy (part 1)
Linear Algebra Essentials with Numpy (part 2)
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