Machine Learning - Fall 2018

Explore fundamental machine learning concepts and techniques through this comprehensive lecture series from the University of Utah Data Science program. Master essential algorithms, statistical methods, and computational approaches used in modern machine learning applications. Delve into supervised and unsupervised learning paradigms, covering topics such as regression, classification, clustering, and dimensionality reduction. Learn to implement and evaluate various machine learning models while understanding their theoretical foundations and practical applications. Gain hands-on experience with real-world datasets and develop skills in feature engineering, model selection, and performance optimization. Build a solid foundation in mathematical concepts including linear algebra, probability, and statistics as they apply to machine learning. Understand the ethical considerations and limitations of machine learning systems in contemporary data science applications.

Syllabus

Machine Learning - Lecture 1 - Fall 2018
Machine Learning - Lecture 2 - Fall 2018
Machine Learning - Lecture 3 - Fall 2018
Machine Learning - Lecture 4 - Fall 2018
Machine Learning - Lecture 5 - Fall 2018
Machine Learning - Lecture 6 - Fall 2018
Machine Learning - Lecture 8 - Fall 2018
Machine Learning - Lecture 9 - Fall 2018
Machine Learning - Lecture 10 - Fall 2018
Machine Learning - Lecture 11 - Fall 2018
Machine Learning - Lecture 12 - Fall 2018
Machine Learning - Lecture 13 - Fall 18
Machine Learning - Lecture 14 - Fall 2018
Machine Learning - Lecture 15 - Fall 2018
Machine Learning - Lecture 16 - Fall 2018
Machine Learning - Lecture 17 - Fall 2018
Machine Learning - Lecture 18 - Fall 2018
Machine Learning - Lecture 19 - Fall 2018
Machine Learning - Lecture 20 - Fall 2018
Machine Learning - Lecture 21 - Fall 2018
Machine Learning - Lecture 22 - Fall 2018
machine learning fall 2018 lecture 23
Machine Learning - Lecture 24 - Fall 2018
Machine Learning - Lecture 25 - Fall 2018
Machine Learning - Lecture 26 - Fall 2018
Machine Learning - Lecture 27 - Fall 2018 (HQ)
Machine Learning - Lecture 27 - Fall 2018