UofU Data Science Courses

Machine Learning: Understanding VC Dimensions and Computational Learning Theory - Lecture 18

Delve into advanced computational learning theory concepts and VC dimensions, exploring fundamental principles that shape machine learning algorithm capabilities and limitations.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning - Lecture 19

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 21 minutes
• On-Demand
• Free Video

Probability and Statistics: Central Limit Theorem and Statistical Estimation - Lecture 13

Master fundamental statistical concepts including Central Limit Theorem, estimation methods, bias analysis, and statistical efficiency principles for robust data analysis and interpretation.

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

Random Projection in Data Mining - Spring 2023

Explore random projection techniques in data mining, from PCA and SVD fundamentals to Johnson-Lindenstrauss lemma, with practical algorithms and theoretical foundations.

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

Introduction to Statistics: Independent and Identically Distributed Random Variables - Lecture 12

Explore fundamental statistical concepts including iid random variables, sample realizations, and the Central Limit Theorem while practicing implementations in R programming.

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

Probabilistic Machine Learning - Lecture 18

Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical frameworks and practical applications in modern computational analysis.

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

Principal Component Analysis and Singular Value Decomposition - Spring 2023

Master dimensionality reduction techniques through PCA and SVD, exploring multicollinearity, vector basis, and practical applications with hands-on demonstrations for effective data analysis.

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

Covariance and Correlation in Probability and Statistics - Lecture 11

Master the concepts of covariance and correlation in statistical analysis, exploring their relationships, calculations, and practical applications in data science and probability theory.

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

Probabilistic Machine Learning - Lecture 17

Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical foundations and practical applications in modern data analysis and machine learning.

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

Machine Learning: Shattering and VC Dimension - Lecture 17B

Delve into computational learning theory, focusing on shattering concepts and VC dimension fundamentals in machine learning through theoretical frameworks and practical applications.

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

Agnostic Learning in Computational Learning Theory - Lecture 17

Delve into computational learning theory and explore advanced concepts of agnostic learning, focusing on theoretical frameworks and practical applications in machine learning.

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

Nonlinear Regression and Regularization in Data Mining - Spring 2023

Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.

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

Agnostic Learning in Computational Learning Theory - Lecture 16

Dive into computational learning theory and explore the fundamental concepts of agnostic learning in machine learning applications.

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

Machine Learning: Positive and Negative Learnability Results - Lecture 16

Explore key theoretical foundations of machine learning through positive and negative learnability results, enhancing your understanding of learning theory fundamentals.

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

Probabilistic Machine Learning - Lecture 16

Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical and practical aspects of modern data analysis and machine learning techniques.

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