Principles of Machine Learning

Boston University - Fall 2023

Class is held in CAS 224 on Tuesday and Thursday 5-6:15pm

Course staff and office hours

Instructor: Prof. Iddo Drori, Wednesday 2-3pm, CCDS 839

Teaching Fellow: Adrish Dey, TBD, CCDS 825

Teaching Fellow: Hao Yu, TBD, CCDS 802

Textbooks

Pattern Recognition and Machine Learning, Christopher M. Bishop , Springer, 2016

The Science of Deep Learning, Iddo Drori, Cambridge University Press, 2022

Enrolled students receive a free online version

First Day of Classes (Tuesday, September 5)

Lecture 1 (Tuesday, September 5): Introduction

Lecture 2 (Thursday, September 7): Regression

Lecture 3 (Tuesday, September 12): Gradient descent

Lecture 4 (Thursday, September 14): Classifiers

Lecture 5 (Tuesday, September 19): Logistic regression

Lecture 6 (Thursday, September 21): Feature representation

Lecture 7 (Tuesday, September 26): Neural networks

Lecture 8 (Thursday, September 28): Neural networks

Lecture 9 (Tuesday, October 3): Convolutional neural networks

Lecture 10 (Thursday, October 5): Convolutional neural networks

Indigenous People’s Day Holiday (Monday, October 9) No classes

Lecture 11 (Tuesday, October 10: Sequence models

Lecture 12 (Thursday, October 12): Sequence models

Lecture 13 (Tuesday, October 17): Recurrent neural netowrks

Lecture 14 (Thursday, October 19): Recurrent neural networks

Lecture 15 (Tuesday, October 24): Attention

Lecture 16 (Thursday, October 26): Transformers

Lecture 17 (Tuesday, October 31): Markov decision processes

Lecture 18 (Thursday, November 2): Reinforcement learning

Lecture 19 (Tuesday, November 7): Reinforcement learning

Lecture 20 (Thursday, November 9): Clustering

Lecture 21 (Tuesday, November 14): Latent representations

Lecture 22 (Thursday, November 16): Decision trees

Lecture 23 (Tuesday, Novmeber 21): Presentations

Thanksgiving Recess (Wednesday, November 22 - Sunday, November 26)

Lecture 24 (Tuesday, November 28):

Lecture 25 (Thursday, November 30):

Lecture 26 (Tuesday, December 5):

Lecture 27 (Thursday, December 7):

Lecture 28 (Tuesday, December 12):

Last Day of Classes (Wednesday, December 12)