Computational Learning Theory Courses and Certifications

Kolmogorov-Seminar

Computable PAC Learning - Part 1

Dive into computational complexity and PAC learning theory through an in-depth exploration of foundational concepts, statistical learning frameworks, and algorithmic approaches.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

High-Dimensional Convexity: Testing, Learning, and Complexity

Explore the fascinating parallels between high-dimensional convex sets and monotone Boolean functions, examining algorithmic structures and mathematical complexities in Gaussian space.

• YouTube
• 49 minutes
• On-Demand
• Free Video

UofU Data Science

VC Dimension - Lecture 15

Explore the VC dimension concept in computational learning theory, understanding how it describes expressiveness in infinite hypothesis spaces.

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

UofU Data Science

Agnostic Learning - Lecture 14

Explore computational learning theory with a focus on the agnostic learning setting, building on previous discussions in this UofU Data Science lecture.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Language Generation in the Limit

Delve into the theoretical foundations of language generation with Jon Kleinberg, exploring adversarial models and contrasting generation with language identification in computational linguistics.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Fields Institute

Algorithmic Learning Theory Research Presentations - Session 6

Explore cutting-edge research in algorithmic learning theory through six technical presentations covering regular expressions, tensor problems, and statistical convergence.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Fields Institute

Algorithmic Learning Theory - Session 1

Explore cutting-edge algorithmic learning theory through four research presentations covering robust learners, adversarial corruptions, multi-group learning, and replicable boosting methods.

• YouTube
• 42 minutes
• On-Demand
• Free Video

UofU Data Science

Machine Learning: Understanding VC Dimensions and Computational Learning Theory - Lecture 18

Delve into advanced computational learning theory concepts and VC dimensions, exploring fundamental principles that shape machine learning algorithm capabilities and limitations.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

UofU Data Science

Agnostic Learning in Computational Learning Theory - Lecture 17

Delve into computational learning theory and explore advanced concepts of agnostic learning, focusing on theoretical frameworks and practical applications in machine learning.

• YouTube
• 51 minutes
• On-Demand
• Free Video

UofU Data Science

Agnostic Learning in Computational Learning Theory - Lecture 16

Dive into computational learning theory and explore the fundamental concepts of agnostic learning in machine learning applications.

• YouTube
• 27 minutes
• On-Demand
• Free Video

HUJI Machine Learning Club

Fast Agnostic Learners in the Plane

Explore fast agnostic learning algorithms for geometric concept classes in the plane, including triangles, convex polygons, and convex sets with optimal sample complexity.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Kolmogorov-Seminar

Tutorial on the Threshold Networks VC-Dimension - Continued - in Russian

Изучите нижние границы VC-размерности для класса функций, вычисляемых пороговыми сетями с аффинными вентилями и p параметрами в рамках семинара Колмогорова.

• YouTube
• 1 hour 48 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Learning Theory and Computational Microscopy - IPAM at UCLA

1 review

Explore learning theory applications in computational microscopy, focusing on advanced techniques for image analysis and reconstruction in scientific research.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Feature Extraction and Machine Learning in Computational Music Theory - Class 28

Explore computational music analysis through feature extraction and machine learning techniques applied to popular songs like Baby Shark and melodic similarity studies.

• YouTube
• 51 minutes
• On-Demand
• Free Video

UofU Data Science

Machine Learning - Spring 2024

Master fundamental ML algorithms from decision trees to neural networks, covering theory, implementation, and practical applications for real-world problem solving.

• YouTube
• 1 day 11 hours 22 minutes
• On-Demand
• Free Video