UofU Data Science Courses

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

Select-then-Predict: Post-hoc Explainability vs Interpretable Models

Explore the concept of Select-then-Predict methodology, comparing post-hoc and inherent model interpretability while examining key approaches like differentiable binary variables and Trojan explanations.

• YouTube
• 24 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

Machine Learning Debug Tutorial - Fall 2023

Master essential debugging techniques for machine learning algorithms, focusing on practical troubleshooting methods and common error resolution in ML development.

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

Machine Learning Fundamentals - Lecture 8

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 14 minutes
• Self-Paced
• Free Video

Gradient-Based Input Attribution Methods and Their Applications

Explore gradient-based input attribution methods, from fundamental concepts to practical applications, limitations, and advanced extensions in machine learning model interpretability.

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

Machine Learning Fundamentals - Lecture 7

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

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 6

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

Prompting for Evaluation of Free-Text Explanations - Part 2

Dive into advanced techniques for evaluating free-text explanations in AI prompting, focusing on methodologies and practical applications for data science analysis.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Machine Learning Fundamentals - Lecture 5

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 22 minutes
• Self-Paced
• Free Video