ECE398BD: Fundamentals of Machine Learning (Lectures)

You can find the typed notes for this class [here]. The course follows essentially linearly with the notes.

Topic Quiz
Lecture 1 Introduction to the course; Review of linear algebra and probability
Lecture 2 k-Nearest Neighbor Classifiers and Bayes Classifiers
Lecture 3 Linear Classifiers and Linear Discriminant Analysis
Lecture 4 Naive Bayes and Kernel Tricks Quiz 1, 4:30 PM
Lecture 5 Logistic Regression, Support Vector Machines and Model Selection
Lecture 6 K-means Clustering Quiz 2, 4:30 PM
Lecture 7 Linear Regression
Lecture 8 SVD and Eigen-Decomposition
Lecture 9 Principal Component Analysis
Lecture 10 Optimization Methods for Machine Learning, Q&A

Useful links:

Big Data Tutorial slides

Big Data in the music industry

Big Data and Machine Learning in Healthcare: How, Why, and When