Social And Emotional Learning Courses

MITCBMM

Interpolation and Learning With Scale Dependent Kernels

Explore scale-dependent kernels in machine learning, covering overfitting, statistical theory, and practical applications in regression and interpolation.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

MITCBMM

Faces and Social Interactions

Explore primate social intelligence, face perception, and neural mechanisms behind facial recognition and social interactions.

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

MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

MITCBMM

Social Visual Representations in Humans and Machines

Explore neural face representations, disentangled learning, and social interaction perception in vision, examining shared visual representations between humans and machines.

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

MITCBMM

DeepOnet - Learning Nonlinear Operators Based on the Universal Approximation Theorem of Operators

Learn to approximate nonlinear operators using DeepONet, a neural network architecture based on the universal approximation theorem. Explore applications in differential equations, fluid mechanics, and multiphysics problems.

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

MITCBMM

Beyond Empirical Risk Minimization - The Lessons of Deep Learning

Explore deep learning's challenge to traditional machine learning wisdom, examining the "double descent" risk curve and how over-parametrized models can generalize well despite perfect training fit.

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

MITCBMM

Machine Learning Accelerating Scientific Discovery

Explore how machine learning is revolutionizing scientific research, from consumer applications to breakthroughs in healthcare and video game development.

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

MITCBMM

Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python

Learn Python-based machine learning techniques for neural decoding, focusing on preprocessing, model selection, and optimization for spike trains and local field potentials from macaque cortical areas.

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

MITCBMM

The Power of Self-Learning Systems

Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

MITCBMM

The Neural Basis of Perceiving Human Visual Social Perception

Explore neural mechanisms of visual object recognition and social perception using MEG, fMRI, and computational modeling. Discover how the brain processes visual scenes, objects, and social interactions over time.

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

MITCBMM

Statistical Learning Theory and Applications - Class 16

Explore statistical learning theory, focusing on complexity, dual norm equality, and calligraphic G. Gain insights into advanced concepts and their applications in machine learning.

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

MITCBMM

Statistical Learning Theory and Applications - Class 6

Explore statistical learning theory with focus on Newton's method, recursive computation, and online methods for efficient problem-solving and data analysis.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

MITCBMM

Statistical Learning Theory and Applications - Class 7

Explore statistical learning theory, covering least squares, gradient descent, regularization, and induction, with insights into historical context and practical applications.

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

MITCBMM

The Deep Learning Revolution

Explore the evolution of deep learning, from its origins to modern applications, covering key milestones, breakthroughs, and future prospects in AI and neuroscience.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

MITCBMM

Deep Learning Tutorial

Explore deep learning fundamentals, from supervised learning to convolutional networks, with practical examples and historical context. Gain insights into advanced concepts and applications.

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