Social And Emotional Learning Courses

Paul G. Allen School

Deep Learning I - Joan Bruna NYU

Explore supervised learning, empirical risk, and fundamental theorems in deep learning with NYU professor Joan Bruna's comprehensive lecture on neural network foundations.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Statistical Learning - Robert Schapire, Microsoft Research

Explore statistical learning with Robert Schapire, covering strong/weak learning, boosting, and confidence in machine learning algorithms.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Statistical Learning IV - Robert Schapire, Microsoft Research

Explore statistical learning with Robert Schapire, covering expected value theorems, ghost samples, PAC learning, and finite hypothesis spaces in this comprehensive lecture.

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

Paul G. Allen School

Probabilistic Models for Learning a Semantic Parser Lexicon

Probabilistic models for learning semantic parser lexicons from question/answer pairs, improving accuracy and efficiency without extensive human input or dataset-specific engineering.

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

Design Cuts

How to Make Social Carousels Using InDesign with Gareth David

Learn to create engaging social media carousels using InDesign with expert Gareth David. Master dimensions, compositing, content organization, and design techniques to elevate your Instagram presence.

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

Design Cuts

Social Media and Creative Marketing Masterclass With Stefan Kunz

Learn social media and creative marketing strategies from Stefan Kunz. Discover behind-the-scenes processes for popular Instagram posts, gain insights on building an audience, and explore techniques for digital illustration and lettering.

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

Institute for Advanced Study

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead - Cynthia Rudin

Advocating for interpretable machine learning models in high-stakes decisions, highlighting their reliability and transparency compared to black box models with potentially misleading explanations.

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

Institute for Advanced Study

Introduction to Interpretable Machine Learning II - Cynthia Rudin

Explore interpretable machine learning with a focus on decision trees, information theory, and analytical bounds. Gain insights into modern approaches and practical applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Introduction to Interpretable Machine Learning - Cynthia Rudin

Explore interpretable machine learning with Cynthia Rudin, covering classification, natural language processing, and decision trees. Gain insights into model complexity and information theory applications.

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

Institute for Advanced Study

Combinatorial Invariance: A Case Study of Pure Math / Machine Learning Interaction - Geordie Williamson

Explore the intersection of pure mathematics and machine learning through the lens of combinatorial invariance, featuring insights on neural networks and their application to mathematical conjectures.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Deep Learning Insights into Cosmological Structure Formation - Luisa Lucie-Smith

Explore deep learning's insights into dark matter halo formation and cosmic structure, uncovering key features in initial conditions that predict final halo mass in N-body simulations.

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

Institute for Advanced Study

Pandora's Box with Correlations: Learning and Approximation - Shuchi Chawla

Explore decision-making under uncertainty, focusing on the Pandora's Box problem with correlated costs. Learn about adaptive strategies and data-driven algorithm design in this advanced computer science seminar.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Latent State Recovery in Reinforcement Learning - John Langford

Explore latent state recovery in reinforcement learning, covering core problems, alternative approaches, and state abstraction. Gain insights from John Langford's expertise in theoretical machine learning.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Statistical Learning Theory for Modern Machine Learning - John Shawe-Taylor

Explore statistical learning theory's role in modern machine learning, covering PAC-Bayes framework, risk measures, and deep network training experiments with John Shawe-Taylor.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning - Peter Stone

Explore efficient robot skill learning through grounded simulation, imitation learning, and off-policy reinforcement learning. Discover innovative approaches for transferring skills from simulation to real-world robots.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video