Suggested Readings for the course

This list will be updated regularly. Read most or all of them to obtain broad understanding of the field. Be sure you have read something before coming to lectures so you have something in mind for discussion and brainstorming.

To see the latest research topics in Machine Learning, please check this conference papers ICML or SIG KDD or watch KDD videos

Week 1

Python Machine learning & deep learning

Week 2

Reducing false positives in credit card fraud detection

Week3

Helping to improve medical image analysis with deep learning

Week4

Scientists use artificial neural networks to predict new stable materials

Week5

EM-MLE-ML.pdf Supervised Learning from Multiple Experts

Excellent Tutorials of ICML 2009 conference with downloadable slides

Week6

Machine-learning system tackles speech and object recognition, all at once

Week7

Defense against adversarial attacks using machine learning and cryptography

Week8

Searching through noise for pros and cons

Week9

Helping computers fill in the gaps between video frames

Week10

An intuitive physics model to predict the effects of a collision

Week11

HMM-stock.pdf stock market prediction using HMM

Week12

How machine learning can break down language and trade barriers

Week13

Machine learning, and how it helps researchers make scientific discoveries much faster

Week14

Identifying deep network generated images using disparities in color components

Week15

Machine learning used for helping farmers select optimal products suited for their operation