UofU Data Science Courses

Linear Models Expressiveness - Lecture 6

Explore the expressive power and functional capabilities of linear models in machine learning, focusing on their versatility and practical applications.

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

Data Mining: Understanding Metric Distances - Lecture 7

Explore fundamental concepts of metric distances in data mining, including distance measurements, similarity metrics, and their applications in clustering and classification algorithms.

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

Perceptron Algorithm and Mistake Bound Theorem - Lecture 9

Dive into advanced Perceptron concepts, exploring practical algorithm variants and the mistake bound theorem for enhanced machine learning understanding.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Distances for Distributions in Data Mining - Lecture 10

Explore statistical methods for measuring distances between probability distributions, including key concepts and practical applications in data mining and analysis.

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

Introduction to Streaming Algorithms: Mean, Variance, and Sampling - Lecture 14

Explore fundamental streaming algorithms including mean calculation, variance estimation, reservoir sampling, and frequency approximation techniques for efficient data processing.

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

Data Mining: Spectral Clustering and Laplacian Methods - Lecture 13

Dive into advanced clustering techniques, exploring spectral methods, Laplacian matrices, and affinity-based approaches for effective data organization and analysis.

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

Retrieval Augmented Generation and Extractive Summarization Techniques

Dive into advanced natural language processing techniques, exploring RAG systems and extractive summarization methods for enhanced text processing capabilities.

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

Faster and Cheaper LLMs with Weight and Key-value Cache Quantization

Explore advanced techniques for optimizing Large Language Models through weight and key-value cache quantization methods to improve speed and reduce computational costs.

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

Transformer Types and Practical Considerations

Explore different transformer architectures and key implementation factors for building effective natural language processing models and applications.

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

Retrieval Augmented Generation (RAG) - Advances in Generative AI

Dive into retrieval augmented generation (RAG) to enhance AI systems with external knowledge retrieval, improving accuracy and context awareness in generative AI applications.

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

Demystifying Data Curation for Pretrained Language Models

Dive into effective data curation techniques for language models, exploring key strategies and best practices for optimizing pretrained model performance through quality dataset preparation.

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

Pretraining and Finetuning in Machine Learning

Dive into the fundamental concepts of pretraining and finetuning in machine learning, exploring key techniques and applications for model optimization.

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

Machine Translation: BLEU Score, Decoding Methods, and Attention Mechanisms

Dive into essential machine translation concepts, exploring BLEU scoring metrics, decoding techniques, and attention mechanisms for natural language processing.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Multilingual Large Language Models - Advances in Generative AI

Explore the latest developments in multilingual large language models, their capabilities, challenges, and future potential in the evolving landscape of generative AI.

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

Introduction to Machine Translation with Sequence-to-Sequence Models

Master sequence-to-sequence modeling fundamentals and applications in machine translation, focusing on neural network architectures and practical implementation techniques.

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