Intro to CS: Using Python for
Objected-Oriented Programming & Machine Learning
Fall 2023
v1.99
v1.99
Meeting time: M/W 1730-1845
Location: 09-425
Office hour:
Mondays 1325-1425
Tuesdays 1025-1125
Wednesdays 1425-1625,
Office location: 17-2109, Zoom link on Canvas
chang (at) cpp (dot) edu
Instructor website: https://sites.google.com/view/changyizhe/
The following textbooks are referred for this lecture series.
(Referred as AD in course)
Allen B. Downey
Think Python: How to Think Like a Computer Scientist
O' Reilly Press, 2015
(Online)(Amazon)(O'Reilly)
(Referred as DB in course)
David Barber
Bayesian Reasoning and Machine Learning
Cambridge University Press, 2012
(Online)(Cambridge)
(Referred as HTF in course)
Trevor Hastie, Robert Tibshirani, Jerome Friedman
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Springer, 2009
(Online)(Amazon)(Springer)