Social And Emotional Learning Courses

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

Deep Learning - Class Introduction and Logistics - Lecture 1

Comprehensive introduction to deep learning, covering key concepts, tools, and applications. Explores course goals, structure, and practical assignments for hands-on experience in AI and machine learning.

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

Information Theory of Deep Learning - Naftali Tishby

Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Petascale Deep Learning on a Single Chip

Innovative deep learning processor architecture for improved efficiency and performance, featuring strategies to reduce data movement and enhance scalability for next-generation models.

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

Stanford Seminar - Partisan Gerrymandering and the Supreme Court: The Role of Social Science

Explore partisan gerrymandering, legal challenges, and social science's role in measuring electoral fairness. Gain insights on redistricting metrics and their potential impact on future elections and political reform.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

NVIDIA GPU Computing - A Journey from PC Gaming to Deep Learning

Explore NVIDIA GPU's evolution from gaming to deep learning, covering key architectures and applications in supercomputing, data centers, and autonomous vehicles.

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

Robot Learning in the Era of Large Pretrained Models - Stanford Seminar

Exploring interactive robot learning with large pretrained models, focusing on visual representations, data collection strategies, and leveraging language models for robotics applications.

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

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.

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