UofU Data Science Courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Language Modeling - Fundamentals and Applications

Master the fundamentals of language modeling, exploring statistical and neural approaches, probability distributions, and practical applications in natural language processing.

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

Neural Classification with Word Embeddings - PyTorch Tutorial

Master neural classification techniques and word embeddings implementation in PyTorch through hands-on practice with essential deep learning concepts and practical applications.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Vector Semantics and Word Embeddings in Data Science

Dive into the mathematical foundations of vector semantics and word embeddings, exploring how words are represented as numerical vectors for natural language processing applications.

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

Neural Networks Foundations - Feedforward Neural Networks

Master the fundamentals of feedforward neural networks, exploring their architecture, functionality, and implementation principles for building effective machine learning models.

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

Tokenization and Morphology in Natural Language Processing

Master essential text processing concepts through tokenization and morphology analysis, exploring fundamental techniques for breaking down and understanding linguistic structures.

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

Machine Learning Foundations - Logistic Regression

Master logistic regression fundamentals through hands-on practice, exploring core concepts, implementation techniques, and practical applications in machine learning and data analysis.

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

Reinforcement Learning from Human Feedback (RLHF) - Advances in Generative AI

Dive into reinforcement learning from human feedback (RLHF) and its crucial role in advancing generative AI systems, exploring key concepts, implementation strategies, and real-world applications.

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

Practical Advice for Building Machine Learning Applications - Lecture 28

Gain insights into practical strategies and best practices for implementing real-world machine learning systems, from system design to deployment considerations.

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