Social And Emotional Learning Courses

Adversarial Debiasing With Partial Learning - Medical Image Studies

Explore adversarial debiasing techniques to reduce racial disparities in medical AI models for chest X-rays and mammograms while maintaining overall performance and trustworthiness.

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

Towards Generalist Imaging Using Multimodal Self-Supervised Learning - Mars Huang

Exploring multimodal self-supervised learning for generalist medical imaging AI, addressing limitations of supervised learning and clinical context integration in automated image analysis.

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

Learning the Structure of EHR with Graph Convolutional Transformer - Edward Choi

Explore graph convolutional transformers for learning EHR structure, combining graph convolution and self-attention for supervised prediction tasks in healthcare analytics and representation learning.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Fairness in Representation Learning - Natalie Dullerud

Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.

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

Actionable Machine Learning for Tackling Distribution Shift - Huaxiu Yao

Explore techniques for building robust machine learning models that can handle distribution shifts, including subpopulation and domain shifts, and adapt to new test distributions with minimal labeled data.

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

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.

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

Stanford Medcast Episode 8: COVID-19 Mini-series - Social Determinants of Health

Explore social determinants of health's impact on COVID-19, focusing on higher incidence among people of color and strategies to overcome healthcare bias and racism.

• Independent
• On-Demand
• Free Online Course

Pediatric Grand Rounds (RECORDING) Learning from every opportunity: Strategies and Challenges

Explore strategies for continuous learning in pediatric care, focusing on just culture principles, learning from excellence, and addressing diagnostic errors.

• Independent
• On-Demand
• Free Online Course

Creating an Inclusive Learning Environment in Medicine: A Guide to Accommodations for Learners with Disabilities

Explore strategies for supporting medical trainees with disabilities, addressing accessibility, and creating an inclusive learning environment in healthcare education.

• Independent
• On-Demand
• Free Online Course

Stanford CS229 - Machine Learning Full Course Taught by Andrew Ng - Autumn 2018

Comprehensive machine learning series covering fundamental concepts to advanced topics, taught by Andrew Ng. Includes algorithms, neural networks, and reinforcement learning.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Online Course

Machine Learning with Graphs - Fall 2019

Comprehensive exploration of machine learning with graphs, covering network properties, community structures, graph neural networks, and their applications in various domains.

• YouTube
• 1 day 4 hours
• On-Demand
• Free Video

Stanford CS234: Reinforcement Learning - Winter 2019

Explore reinforcement learning fundamentals to advanced techniques, covering policy evaluation, deep Q-learning, imitation learning, policy gradients, fast RL, and Monte Carlo tree search.

• YouTube
• 19 hours
• On-Demand
• Free Online Course

Stanford CS330: Deep Multi-Task and Meta Learning

Explore advanced machine learning techniques for efficient learning across multiple tasks, including optimization-based meta-learning, Bayesian approaches, and reinforcement learning applications.

• YouTube
• 18 hours
• On-Demand
• Free Online Course

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Explore deep learning applications in symbolic mathematics, covering integration techniques, ODEs, and model evaluation, with insights on generalization and comparisons to traditional methods.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course