UofU Data Science Courses

Discriminative and Generative Models in Machine Learning - Lecture 24B

Explore the key distinctions between discriminative and generative models in machine learning, focusing on their unique approaches and practical applications.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Boosting and Ensembles in Machine Learning - Lecture 18b

Discover how to transform weak learning algorithms into powerful predictive models through boosting and ensemble techniques in machine learning.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Introduction to the Perceptron Algorithm - Lecture 8

Dive into the fundamental concepts of the Perceptron algorithm, exploring its core mechanisms and applications in neural network foundations.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Online Learning and Mistake Bound Analysis - Lecture 6B

Explore online learning algorithms and performance quantification through mistake bound methodology, focusing on mistake-driven learning approaches.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Hypothesis Testing with t-Tests and p-Values - Spring 2023

Master statistical hypothesis testing through hands-on practice with t-tests and p-values, building essential skills for data-driven decision making and scientific research.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

PageRank Algorithm and Google's Web Search Formulation - Part 2

Dive into advanced PageRank concepts, exploring spider traps, dead ends, and Google's teleportation formulation while analyzing the algorithm's implementation and modern applications.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Hypothesis Testing: Three Steps and Examples with Height Analysis - Lecture 15B

Master hypothesis testing through a systematic 3-step approach, exploring real-world examples with height data and known variance to build practical statistical analysis skills.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning - Lecture 24

Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Matrix Completion and PageRank in Data Mining - Spring 2023

Dive into matrix completion techniques and PageRank algorithms, exploring fundamental concepts for data mining and graph analysis applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Bayesian Learning and Maximum Likelihood Methods - Lecture 23

Explore probabilistic learning criteria through maximum a posteriori and maximum likelihood examples, enhancing your understanding of Bayesian learning fundamentals.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Learning as Loss Minimization in Machine Learning - Lecture 23

Delve into the fundamental concept of learning as optimization, exploring how empirical risk minimization forms the foundation of machine learning algorithms.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Stochastic Gradient Descent for Support Vector Machines - Lecture 22

Dive into stochastic gradient descent algorithms and their application in optimizing Support Vector Machines through practical implementation techniques and mathematical foundations.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Hypothesis Testing via Fisher Exact Test - The Lady Tasting Tea - Lecture 15

Explore the fascinating Lady Tasting Tea experiment and master hypothesis testing concepts through Fisher's Exact Test methodology in statistical analysis.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning - Lecture 23

Dive into advanced data science concepts through comprehensive lecture materials from the University of Utah's graduate-level computer science program.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Distance Metric Learning and Outlier Detection in Data Mining - Spring 2023

Delve into advanced data mining concepts, focusing on distance metric learning, outlier detection techniques, and practical applications of DBSCAN for effective data analysis.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video