CS 419: Introduction to Machine Learning

I was a teaching assistant with Prof. Sunita Sarawagi as the course instructor in Autumn 2018.

Tutorial on Convolutional Neural Networks

Please find the slides used in the class here.

Tutorial on Introduction to TensorFlow

Please find the slides used in the class here.

Other Details

The course syllabus includes: Supervised learning methods like Decision trees, generative classifiers like naive Bayes, Support vector Machines, Logistic classifiers, Neural Networks. Unsupervised learning like K-Means clustering and EM algorithm.

Please find other details on course webpage here.