Social And Emotional Learning Courses

IPhT-TV

Mathematical Problems in Machine Learning - Lecture 2

Delve into mathematical probability fundamentals and their applications in machine learning through advanced theoretical concepts and problem-solving approaches from Stanford expertise.

• YouTube
• 1 hour 54 minutes
• Self-Paced
• Free Video

MIT HAN Lab

EfficientML.AI - Introduction to Efficient Machine Learning

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

Data Con LA

Generative AI for Social Media Content Categorization - From Theory to Production

Discover how to combine RAG & LLMs for scalable YouTube channel categorization, with practical examples, production insights, and live demonstrations of AI-powered content analysis.

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

Data Con LA

Predicting What We Breathe - Using Machine Learning for Urban Air Quality Analysis

Discover how Los Angeles uses NASA satellite data and machine learning to analyze air quality patterns, predict pollution events, and develop targeted mitigation strategies for improving urban air quality.

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

Data Con LA

Change the World with Data - Using Analytics for Community Development and Social Impact

Discover how community developers leverage data storytelling to drive economic impact, track social change, and create sustainable futures through innovative approaches to community development.

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

SNIAVideo

Training Deep Learning Models in the Cloud - Infrastructure Considerations and Best Practices

Explore deep learning infrastructure considerations for cloud and on-premises deployments, covering scalability, performance optimization, and operational challenges in AI model training.

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

SNIAVideo

PCIe 6.0 Specification and Beyond - Enabling Storage for Machine Learning Applications

Explore PCIe 6.0's groundbreaking features and their impact on AI/ML applications, including PAM4 signaling, error correction, and flit-based encoding for enhanced data center performance and future developments.

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

SNIAVideo

RETINA: Exploring Computational Storage with SmartSSD for Key-Value Storage and Deep Learning

Discover how Computational Storage and Samsung SmartSSD accelerate key-value storage engines and deep learning workloads through RETINA's cross-layered approach to near-data processing and performance optimization.

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

Institute for Pure & Applied Mathematics (IPAM)

Singular Learning, Relative Information and the Dual Numbers

Dive into relative information's role in machine learning, exploring conditional relative information, singular learning theory, and connections to algebraic geometry and category theory.

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

Institute for Pure & Applied Mathematics (IPAM)

Comparison and Transfer Between Tasks in Overparameterized Learning

Explore similarities and differences in classification and regression tasks for overparameterized linear models. Gain insights into task transfer and generalization in high-dimensional regimes.

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

Institute for Pure & Applied Mathematics (IPAM)

The Dynamics of Memorization and Generalization in Deep Learning

Explore the complex interplay between memorization and generalization in deep learning models, examining strategies to mitigate unwanted memorization and the impact of pruning techniques on learning outcomes.

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

Open Data Science

Gender Bias in Machine Learning

Explore gender bias in machine learning with Shalvi Mahajan. Uncover AI's role in amplifying biases, real-world challenges, and evolving techniques to address them in product design and services across genders.

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

Simons Institute

Toward Understanding In-Context Learning

Dive into the mechanisms of in-context learning in large language models, exploring theoretical explanations and simplified data distributions with Stanford's Tengyu Ma.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Simons Institute

Neural Networks Meet Nonparametric Regression: Generalization by Weight Decay and Large Learning Rates

Explore the intersection of deep neural networks and nonparametric regression, uncovering insights on overparameterization, representation learning, and adaptive generalization in machine learning.

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

Simons Institute

Iterative Preference Learning Methods for Large Language Model Post-Training

Explore innovative RLHF algorithms and their statistical efficiency in aligning LLMs with human preferences. Gain insights into a novel online iterative training framework for developing state-of-the-art chatbots using open-source data.

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