Carnegie Mellon University 95-828 Machine Learning for Problem Solving Spring 2022

		Resources A Few Useful Things to Know about Machine Learning RECOMMENDED BOOKS The following books (short reference name in parentheses) will help you further your understanding of the material: (ISL) An Introduction to Statistical Learning, [ FREE pdf ] Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (CML) A Course in Machine Learning, [ FREE pdf ] Hal Daumé III (MLP) Introduction to Machine Learning with Python, O'Reilly Sarah Guido and Andreas Muller (DSB) Data Science for Business, O'Reilly Foster Provost and Tom Fawcett ML using Python Python programming Definite Guide to Python DataCamp Intro to Python for Data Science Python 2.7 Quick Reference Sheet scikit-learn: Python ML library scikit-learn User Guide scikit-learn API reference SciPy: Scientific Computing Tools NumPy: Scientific Computing Library matplotlib plotting libraries