UofU Data Science Courses

Machine Learning - Fall 2016

Dive into comprehensive machine learning fundamentals through university-level lectures covering algorithms, theory, and practical applications from UofU Data Science.

• YouTube
• 1 day 1 hour 42 minutes
• Self-Paced
• Free Video

Database Systems - Spring 2016

Master fundamental database concepts, SQL querying, data modeling, and system design through comprehensive undergraduate-level lectures from University of Utah.

• YouTube
• 1 day 7 hours 38 minutes
• Self-Paced
• Free Video

Probabilistic Modeling - Spring 2016

Master statistical inference, Bayesian methods, and uncertainty quantification through comprehensive probabilistic modeling techniques for data science applications.

• YouTube
• 1 day 12 hours 7 minutes
• Self-Paced
• Free Video

Data Mining - Spring 2016

Explore fundamental data mining techniques, algorithms, and applications through comprehensive university lectures covering pattern recognition, machine learning, and data analysis methods.

• YouTube
• 1 day 6 hours 20 minutes
• Self-Paced
• Free Video

Machine Learning (Fall 2015)

Dive into comprehensive machine learning fundamentals through 28 structured lectures covering algorithms, theory, and practical applications from University of Utah.

• YouTube
• 1 day 11 hours 14 minutes
• Self-Paced
• Free Video

Advanced Algorithms - Fall 2015

Master sophisticated algorithmic techniques and computational complexity through comprehensive university-level lectures covering advanced data structures and optimization methods.

• YouTube
• 1 day 3 hours 59 minutes
• Self-Paced
• Free Video

SFT Data and RLHF - Supervised Fine-Tuning and Reinforcement Learning from Human Feedback

Explore supervised fine-tuning data preparation and reinforcement learning from human feedback techniques for optimizing large language models in this technical deep dive.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Review and Pretraining Data

Dive into review concepts and pretraining data fundamentals in this comprehensive data science session covering key methodologies and practical applications.

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

Random Projections and the Johnson-Lindenstrauss Lemma - L18

Discover how random projections approximate distances using the Johnson-Lindenstrauss Lemma and understand where the log(n) factor originates in unbiased estimates.

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

Pretraining and Finetuning

Explore pretraining and finetuning techniques for machine learning models in this comprehensive data science presentation covering key methodologies and practical applications.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Metric Learning - Similarity Projection via EigenDecomp, Classical Multidimensional Scaling, and Linear Distance Metric Learning - L17

Discover similarity projection techniques through eigendecomposition, classical MDS, LDA, and linear distance metric learning methods.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Transformers Part 2

Dive into advanced transformer architectures and implementation techniques in this comprehensive deep learning session.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Feature Selection - Linear Regression, Ridge Regression, and Lasso - L19

Master feature selection techniques in linear regression, including Ridge and Lasso methods, while understanding sparsity, normalization, and the complexities of interpreting coefficients.

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

Answer Extraction and Retrieval-Augmented Generation

Discover how to extract answers from documents and implement Retrieval-Augmented Generation (RAG) systems for enhanced information retrieval and question-answering applications.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

(Q)LoRA - Course Wrap

Explore (Q)LoRA techniques and complete your data science journey with comprehensive wrap-up insights and practical applications for advanced machine learning optimization.

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