UofU Data Science Courses

An Overview of Local Explainability Methods and Their Evaluation in AI

Explore key methods and evaluation approaches for local explainability in AI, from confidence scores and input attribution to concept-based explanations and practical applications.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Machine Learning - Lecture 25

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

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Machine Learning - Lecture 24

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

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Machine Learning - Lecture 23

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

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

Machine Learning: Neural Networks and Deep Learning - Lecture 22

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

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

Machine Learning: Neural Networks and Deep Learning - Lecture 21

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

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

Machine Learning - Lecture 20

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 16 minutes
• Self-Paced
• Free Video

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