Carnegie Mellon University
95-828 Machine Learning for Problem Solving
Spring 2019
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
Last modified by Leman Akoglu, 2019