UofU Data Science Courses

Decision Tree Learning Algorithm and Practical Applications - Lecture 4

Dive into advanced decision tree learning algorithms and explore practical implementation challenges in machine learning applications.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Transformers Part 1

Discover the foundational concepts of transformer architecture and its revolutionary impact on natural language processing and machine learning applications.

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

Principal Component Analysis - Dimensionality Reduction and SVD - L15

Master dimensionality reduction through dot-products, orthogonal projections, SVD, and Principal Component Analysis techniques for optimal data representation.

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

Transformers Part 2

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

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

Theory of Science - Machine Learning - L19

Explore the philosophical foundations of data science and machine learning through Donoho's frictionless reproducibility framework in this comprehensive theoretical examination.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

QA Landscape and Retrieval

Explore the question-answering landscape and retrieval techniques in this comprehensive data science presentation covering key methodologies and applications.

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

Matrix Sketching - Eigendecomposition, SVD, PCA, and Streaming Algorithms - L16

Explore matrix sketching techniques including SVD, PCA, and streaming algorithms for efficient data dimensionality reduction and covariance analysis.

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