Machine Learning (Fall 2020)

Explore fundamental machine learning concepts and algorithms through this comprehensive lecture series from the University of Utah's Data Science program. Master essential topics including supervised and unsupervised learning techniques, statistical learning theory, and algorithm implementation across 27 detailed lectures totaling over 38 hours of instruction. Dive deep into core machine learning methodologies such as regression, classification, clustering, and dimensionality reduction while examining advanced topics like boosting and ensemble methods. Gain practical understanding of how to apply machine learning algorithms to real-world data science problems and develop the theoretical foundation necessary for implementing and evaluating machine learning models. Learn to navigate the mathematical underpinnings of popular algorithms while building intuition for when and how to apply different techniques in various scenarios. Develop skills in model selection, performance evaluation, and understanding the trade-offs between bias and variance in machine learning systems.

Syllabus

Machine Learning - Lecture 1 (Fall 2020)
Machine Learning - Lecture 2 (Fall 2020)
Machine Learning - Lecture 3 (Fall 2020)
Machine Learning - Lecture 4 (Fall 2020)
Machine Learning - Lecture 5 (Fall 2020)
Machine Learning - Lecture 6 (Fall 2020)
Machine Learning - Lecture 7 (Fall 2020)
Machine Learning - Lecture 8 (Fall 2020)
Machine Learning - Lecture 9 (Fall 2020)
Machine Learning - Lecture 10 (Fall 2020)
Machine Learning - Lecture 11 (Fall 2020)
Machine Learning - Lecture 12 (Fall 2020)
Machine Learning - Lecture 13 (Fall 2020)
Machine Learning - Lecture 14 (Fall 2020)
Machine Learning - Lecture 15 (Fall 2020)
Machine Learning - Lecture 16 (Fall 2020)
Machine Learning - Lecture 17 (Fall 2020)
Machine Learning - Lecture 18 (Fall 2020)
Machine Learning - Lecture 19 (Fall 2020)
Machine Learning - Lecture 20 (Fall 2020)
Machine Learning (Fall 2020): Boosting and Ensembles
Machine Learning - Lecture 21 (Fall 2020)
Machine Learning - Lecture 22 (Fall 2020)
Machine Learning - Lecture 23 (Fall 2020)
Machine Learning - Lecture 24 (Fall 2020)
Machine Learning - Lecture 25 (Fall 2020)
Machine Learning - Lecture 26 (Fall 2020)
Machine Learning - Lecture 27 (Fall 2020)