Social And Emotional Learning Courses

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
• Self-Paced
• 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
• Self-Paced
• Free Video

Stanford Seminar - Democratizing Robot Learning

Exploring advancements in human-robot interaction, focusing on learning from human decision-makers, explainable AI, and coordinated control of human-robot teams for real-world applications.

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

Stanford Seminar 2022 - Transformer Circuits, Induction Heads, In-Context Learning

Explore reverse engineering of transformer language models, focusing on induction head circuits and their role in in-context learning. Gain insights into neural network interpretability and AI safety.

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

How Can You Trust Machine Learning?

Explore a framework for trustworthy AI based on Clarity, Competence, and Alignment. Learn about explainable ML, rigorous model evaluation, and aligning AI behaviors with human values.

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

Interactive Imitation Learning: Planning Alongside Humans

Interactive imitation learning for robots: tackling feedback-driven covariate shift and predicting human intent using graph neural networks, with applications in self-driving vehicles.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Hacking AI - Security & Privacy of Machine Learning Models

Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.

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

Stanford CS229 - Machine Learning - Summer 2019 - Kernel Methods & Support Vector Machine

Explore kernel methods and Support Vector Machines in machine learning, focusing on advanced techniques for data classification and pattern recognition in complex datasets.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Learning From History - The How and Why of Starting a Computer History Museum

Explore the origins of computer history museums, their importance in preserving technological heritage, and the fascinating stories behind early computing pioneers and innovations.

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

Stanford Seminar - Fastai: A Layered API for Deep Learning

Explore fastai, a deep learning library offering high-level components for quick results and low-level components for research flexibility, built on a layered architecture with Python and PyTorch.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Stanford Seminar - Centaur Technology's Deep Learning Coprocessor

Explore Centaur's innovative x86 microprocessor with integrated AI Coprocessor, delivering high performance for server applications and deep learning tasks while maintaining efficiency and scalability.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

Federated Learning in Medicine - Breaking Down Silos to Advance Medical Research

Explore federated learning's potential to revolutionize medical research by breaking data silos, enhancing privacy, and fostering collaboration across healthcare institutions.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Deep Learning - Adversarial Attacks and GANs - Lecture 4

Explore adversarial attacks and Generative Adversarial Networks (GANs) in deep learning. Learn from Stanford experts about these advanced techniques and their applications in AI.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Deep Learning Full-Cycle Projects - Lecture 3

Comprehensive exploration of full-cycle deep learning projects, covering project selection, visualization, and problem-solving techniques for voice-activated devices and network challenges.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Deep Learning Intuition - Lecture 2

Explore deep learning intuition with Stanford experts, covering logistic regression, face verification, neural architectures, and advanced applications in computer vision and image processing.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video