UofU Data Science Courses

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

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

Sequence-to-Sequence Models Through the Lens of Neural Machine Translation

Explore sequence-to-sequence models and neural machine translation fundamentals in this comprehensive data science presentation from University of Utah.

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

Streaming Models and Sampling Techniques - L12

Explore streaming data models, sampling techniques with and without replacement, reservoir sampling, and weighted sampling methods including bottom-k approaches.

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

Attention Mechanisms in Deep Learning

Explore attention mechanisms in deep learning and neural networks through comprehensive theoretical foundations and practical implementations.

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

Language Modeling

Discover how to build and understand language models that predict and generate text sequences using statistical and neural approaches.

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

K-Means and Friends - Assignment-Based Clustering Algorithms - L9

Explore k-means clustering algorithms including k-median, k-mediod, and k-center formulations with Gonzalez and Lloyd's algorithms plus k-means++ initialization techniques.

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

Hierarchical Agglomerative Clustering - Single Link, Complete Link, and DBScan - L8

Master hierarchical agglomerative clustering techniques including single link, complete link methods, and density-based DBScan algorithms for effective data grouping.

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

Word Embeddings - Evaluation and Analysis + Course Preview

Explore word embeddings evaluation and analysis techniques while getting a preview of upcoming data science concepts.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Word Embeddings - Word2Vec Skip-Gram

Dive into word2vec skip-gram architecture to transform words into meaningful vector representations for natural language processing and machine learning applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Subword Tokenization

Discover how to break down words into smaller meaningful units for improved natural language processing and machine learning applications.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Streaming Distinct Item Counting and Mergeable Summaries - HyperLogLog and Bloom Filters - L14

Discover advanced streaming algorithms including HyperLogLog for distinct item counting, Bloom filters, and mergeable data summaries for large-scale data processing.

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