Social And Emotional Learning Courses

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

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

Divide and Conquer - Concept-based Models for Efficient Transfer Learning

Exploring concept-based interpretable AI models for efficient transfer learning in healthcare, focusing on generalizability and minimal data requirements for domain adaptation in medical imaging.

• YouTube
• 1 hour
• 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

SleepFM - Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Explore SleepFM, a groundbreaking multi-modal foundation model for sleep analysis, leveraging brain, cardiac, and respiratory data to improve sleep stage classification and disorder detection.

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

HECTOR - Multimodal Deep Learning Model for Predicting Recurrence Risk in Endometrial Cancer

Multimodal deep learning model HECTOR predicts endometrial cancer recurrence risk using histopathology images and tumor stage, outperforming current standards for personalized treatment decisions.

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

Harnessing AI to Understand and Advance Human Learning

Explore groundbreaking AI advancements in education with Stanford researchers discussing AI-driven training, evaluation, and analysis using educational data to transform learning and provide insights into human cognition.

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

Introduction to Deep Learning - Lecture 1

Discover deep learning fundamentals through Stanford's CS230 introduction, covering class overview, real-world project examples, and essential details for mastering AI applications.

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

Understanding Social Media's Role in Mental Health: Causal Perspectives and Interdisciplinary Pathways

Explore the complex relationship between social media and mental health through cutting-edge research, examining causal perspectives and discovering how digital platforms impact psychological well-being.

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

Climate Change - The Science, Social Will, and Solutions

Explore the science of climate change, its energy connections, and solutions in this lecture by Kirsten Stasio, examining both the technical aspects and social challenges of addressing global warming.

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

Deep Reinforcement Learning - Frontiers - Lecture 18

Explore cutting-edge frontiers in deep reinforcement learning, covering problem setup, advanced methods, and real-world deployment strategies with Stanford's expert guidance.

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

Deep Reinforcement Learning - Tutorial Session: Review of Q-Learning

Dive into Q-learning fundamentals with MDP review, parametric approaches, and practical algorithm walkthroughs for deep reinforcement learning mastery.

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

Stanford CS234 - Reinforcement Learning - Spring 2024

Master reinforcement learning fundamentals through Stanford's comprehensive program covering MDP planning, policy evaluation, Q-learning, exploration strategies, and deep RL applications.

• YouTube
• 20 hours 11 minutes
• Self-Paced
• Free Video

Statistical Learning with Python

Master statistical learning fundamentals through hands-on Python implementation, covering regression, classification, neural networks, and unsupervised methods without heavy mathematics.

• YouTube
• 20 hours 18 minutes
• Self-Paced
• Free Video

Machine Learning with Graphs

Master graph-based machine learning techniques including Graph Neural Networks, PageRank, knowledge graphs, and network analysis for modeling complex social, technological, and biological systems.

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

Stanford CS224N - Natural Language Processing with Deep Learning 2023

Master cutting-edge neural networks for NLP, from word vectors to Transformers, with hands-on tutorials covering RNNs, attention mechanisms, and modern language models.

• YouTube
• 1 day 5 hours 12 minutes
• Self-Paced
• Free Video