UofU Data Science Courses

Probability and Statistics: Joint Continuous Random Variables - Lecture 10

Master probability concepts through double integrals, marginal PDFs, and conditional expectations while exploring joint continuous random variables and their independence relationships.

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

Data Mining: Introduction to Linear Regression - Spring 2023

Master linear regression fundamentals, from basic concepts to least squares method, while learning how to apply these techniques for effective data analysis and predictive modeling.

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

Probabilistic Machine Learning - Lecture 15

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 25 minutes
• On-Demand
• Free Video

Expected Values in Random Variables - Lecture 9.5

Master the fundamentals of random variables and their expected values, exploring key concepts like independence and probability distributions in statistical analysis.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

Probability and Statistics: Joint Discrete Random Variables and Distributions - Lecture 9

Master probability concepts from exponential distribution to joint discrete random variables, including marginal and conditional probability calculations for comprehensive statistical analysis.

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

Probabilistic Machine Learning - Lecture 14

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 22 minutes
• On-Demand
• Free Video

Machine Learning Mid-Semester Review - Lecture 15

Dive into a comprehensive mid-semester review of fundamental machine learning concepts, covering key principles and techniques explored throughout the academic term.

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

Data Mining: Count-Min Sketch and Count Sketch Algorithms - Spring 2023

Dive into advanced data mining techniques, focusing on Count-Min Sketch algorithms, space optimization, and comparative analysis with Misra-Gries method for efficient data processing.

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

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

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

Probability and Statistics: Understanding Variance - Lecture 8

Master statistical concepts of variance through examples, expectations, and geometric distributions while exploring fundamental probability principles and calculations.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Machine Learning: Occam's Razor and Consistent Learners - Lecture 14

Delve into advanced concepts of Occam's razor in machine learning, exploring consistent learner applications and theoretical foundations for model complexity.

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

Data Mining: Sketch Algorithms and Count-Min Sketch Analysis - Spring 2023

Explore advanced sketch algorithms including Misra-Gries and Count-min techniques for efficient data mining, with detailed analysis and practical applications.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

PAC Learning in Machine Learning Theory - Lecture 13

Delve into computational learning theory, exploring the PAC model and Occam's razor theorem for advanced understanding of machine learning fundamentals and theoretical frameworks.

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

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.

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

Probability and Statistics: Expectation of Random Variables - Lecture 8

Master probability concepts through discrete and continuous random variables, exploring Bernoulli, geometric, exponential, and normal distributions with practical examples and linearity principles.

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