UofU Data Science Courses

Machine Learning - Lecture 19

Dive into advanced data science concepts through comprehensive coverage of machine learning principles, algorithms, and practical applications in this university-level lecture.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Challenges in Fostering Trust and Distrust in AI Systems

Explore key challenges in AI trust development, from benchmark construction and evaluation methods to data quality issues and human trust factors in artificial intelligence systems.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Machine Learning: Neural Networks and Deep Learning - Lecture 18

Dive into advanced data science concepts through comprehensive coverage of machine learning principles, algorithms, and practical applications in this university-level lecture.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 16

Dive into advanced data science concepts through comprehensive coverage of machine learning principles, algorithms, and practical applications in this university-level lecture.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Understanding Human Trust in AI Systems - Evaluation and Analysis

Explore the complex dynamics of human-AI trust relationships, from interpersonal trust foundations to evaluating AI trustworthiness and warranted trust in practical applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 15

Dive into advanced data science concepts through comprehensive coverage of machine learning principles, algorithms, and practical applications in this university-level lecture.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 14

Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Application-Grounded Evaluations of Explanations in AI Systems

Explore evaluation methods for AI explanations, focusing on simulatability, reliance metrics, and team performance in practical applications for enhanced decision-making.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 13

Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 12

Dive into advanced machine learning concepts and data science fundamentals through comprehensive theoretical discussions and practical applications in this graduate-level lecture.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 11

Dive into advanced machine learning concepts and data science fundamentals through comprehensive theoretical discussions and practical applications at a graduate level.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Data Influence: Understanding Influence Functions and Efficiency in Machine Learning

Delve into advanced mathematical concepts of data influence, exploring influence functions, efficiency, and convexity through theoretical frameworks and practical applications in data science.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Pairwise Feature Importance and Effective Attention in Self-Attention Networks

Dive into advanced concepts of attention mechanisms, exploring effective attention computation, norm-based analysis, and practical applications in neural networks.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness

Explore advanced concepts in gradient-based input attribution, from plausibility assessment to comprehensive evaluation methods like ROAR and Recursive-ROAR techniques.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 10

Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video