Machine Learning - Final Collaborative Study Guidecomprehensive-2026-2027 (41pages)

Note!!! • I (who will remain anonymous) really hope everyone can benefit from this study guide! • Please comment if you feel like some information may be wrong but you’re hesitant to change it. (If you’re confident it’s wrong, then change it.) • PLEASE CONTRIBUTE A LITTLE if you’re gonna use it`` • https://www.cc.gatech.edu/~bboots3/CS4641-Fall2018/Lecture23/Final_Review.pdf • Final Midterm study guide: • Feel free to make new outline topics according to the one prof said in class • Useful Comparison chart for different algorithms: https://www.dataschool.io/comparingsupervised-learning-algorithms/ • excellent youtube videos: search "victor lavrenko" and then a topic ("pca", "svm", etc) • Happy studying =) <3>