UofU Data Science Courses

Generalized Linear Models and Linear Regression - Lecture 11

Dive into advanced statistical concepts including generalized linear models, nonlinear basis functions, and regularization techniques for robust data analysis and point estimation.

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

Exponential and Normal Distribution with Sinusoidal Functions - Lecture 7B

Explore exponential and normal distributions while analyzing the complex function f(x) = (sin(1/x)+1)/1.5, gaining practical insights into probability theory and statistical analysis.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Machine Learning: Computational Learning Theory and Batch Learning - Lecture 12

Delve into formal models of learnability, focusing on batch learning concepts, mistake bound models, and PAC learning theory in machine learning applications.

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

Machine Learning: Least Mean Square Regression - Lecture 12

Dive into advanced linear regression concepts, exploring overfitting, gradient descent, and practical plotting techniques for enhanced machine learning understanding.

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

Data Mining: Streaming Algorithms and the Misra-Gries Algorithm - Spring 2023

Master streaming algorithms and frequency estimation through Misra-Gries techniques, spectral clustering, and majority algorithms for efficient data mining solutions.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning - Lecture 10

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

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

Continuous Random Variables and Probability Distributions - Lecture 7A

Master continuous random variables, probability density functions, and cumulative distribution functions while exploring uniform distribution concepts and practical applications.

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

Least Mean Square Regression for Machine Learning - Lecture 11

Dive into least mean square regression, exploring loss function minimization and gradient descent methods for effective linear regression implementation and optimization.

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

Spectral Clustering and Graph Partitioning - Data Mining Spring 2023

Master spectral clustering concepts through graph theory, Laplacians, eigenvalues, and practical algorithms for data partitioning and similarity analysis.

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

Perceptron Algorithm and the Novikoff-Block Mistake-Bound Theorem - Lecture 10

Delve into the Perceptron algorithm and explore the Novikoff-Block mistake-bound theorem through detailed mathematical proofs and comprehensive analysis.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Probabilistic Machine Learning - Lecture 9

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

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

Discrete Distributions in R - Lecture 6

Master discrete distributions through hands-on practice in R, exploring probability concepts and statistical analysis techniques for working with categorical data.

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

K-means Clustering and Validation Methods in Data Mining - Spring 2023

Master clustering algorithms through k-means, k-medoids, and Lloyd's algorithm, including initialization techniques, validation methods, and performance metrics for effective data mining applications.

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

Discrete Random Variables: Bernoulli, Binomial, and Geometric - Lecture 6B

Master discrete probability concepts through Bernoulli, Binomial, and Geometric random variables, including factorial calculations and cumulative distribution functions.

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

Exponential Family and Information Theory in Probability Distributions - Lecture 8

Dive into advanced statistical concepts including exponential families, multivariable Gaussian distributions, and information theory fundamentals for data science applications.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video