Social And Emotional Learning Courses

Julia Silge

Subword Features in Machine Learning for Text

Explore machine learning techniques for text analysis using tidymodels to predict Hawaii post offices from their names, with practical code examples and performance evaluation.

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

Simons Institute

Working Memory Influences Reinforcement Learning Computations in Brain and Behavior

Explore how working memory influences reinforcement learning in the brain, examining experimental results, genetic factors, and EEG data to uncover neural mechanisms of learning.

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

Simons Institute

The Prefrontal Cortex as a Meta-Reinforcement Learning System

Explore the prefrontal cortex's role in meta-reinforcement learning, connecting neuroscience and AI through recurrent neural networks and cognitive tasks like Harlow's experiment.

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

Simons Institute

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Explore hidden theory and cutting-edge algorithms in reinforcement learning, covering topics like choleric relaxation, Watkins key function, and applications in finance and trading.

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

Simons Institute

Nonnegative Polynomials, Nonconvex Polynomial Optimization, and Applications to Learning

Explore nonnegative polynomials and nonconvex optimization, focusing on shape-constrained regression and DC programming. Learn powerful relaxation techniques and their applications in machine learning.

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

Simons Institute

Machine Learning for Healthcare Data

Explore machine learning applications in healthcare, focusing on chronic kidney disease, sepsis, and surgical outcomes, with insights on transfer learning and predictive modeling.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Simons Institute

Efficient Distributed Deep Learning Using MXNet

Explore distributed deep learning with MXNet, covering practical challenges, deployment strategies, and advanced techniques for efficient large-scale machine learning implementations.

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

Simons Institute

Unsupervised Representation Learning

Explore hierarchical representation learning, common sense AI, and advanced neural network architectures with Yann LeCun. Gain insights into unsupervised learning and video prediction techniques.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Simons Institute

Representation Learning of Grounded Language and Knowledge - With and Without End-to-End Learning

Explore representation learning for grounded language and knowledge, covering end-to-end learning, procedural language challenges, and applications in cooking instructions and dialogue generation.

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

Simons Institute

Tractable Learning in Structured Probability Spaces

Explore tractable learning in structured probability spaces, focusing on logical circuits, probabilistic inference, and learning algorithms for complex datasets with constraints.

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

Simons Institute

Power of Active Sampling for Unsupervised Learning

Explore active sampling techniques for unsupervised learning, focusing on matrix completion, graphical models, and clustering. Learn about statistical tradeoffs and computational complexity.

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

Simons Institute

Machine Learning from Verbal User Instruction

Explore interactive machine learning through verbal instructions, focusing on sensor-effector systems and natural language processing for more intuitive human-AI interactions.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

MITCBMM

Building a State Space for Song Learning

Explore how songbirds develop neural sequences for vocalizations, examining the role of auditory memory in shaping motor circuits and facilitating song learning through reinforcement mechanisms.

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

MITCBMM

Parallel Systems for Social and Spatial Reasoning Within the Brain's Apex Network

Explore parallel systems for social and spatial reasoning in the brain's apex network, examining cognitive architecture, neural mechanisms, and evolutionary origins through fMRI experiments and theoretical frameworks.

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

MITCBMM

Efficient Representation, Learning, and Planning Through Abstraction - Clustering Cognitive Spaces Into Submaps

Explore efficient representation and learning through abstraction, focusing on cognitive space clustering and its impact on memory, navigation, and planning in complex environments.

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