Social And Emotional Learning Courses

AGU

Data Analytics and Machine Learning Innovation for Climate and Earth Surface Processes

Explore innovative data analytics and machine learning techniques for climate and Earth surface processes, focusing on big data challenges and opportunities in Earth system modeling and predictability.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Conference Talk

AGU

Social Impacts of Climate Change and Climate Variability

Explore climate change's social impacts, from carbon costs to disaster effects, through diverse topics like tropical cyclones, electricity consumption, and seasonal influenza.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Conference Talk

Let's Code Physics

Learning Attitudes: The Next Big Puzzle in Science Education

Explore the concept of learning attitudes in science education, their assessment, and strategies for improvement. Gain insights into response shift bias and model building.

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

International Centre for Theoretical Sciences

Deep Reinforcement Learning of Marked Temporal Point Processes

Explore deep reinforcement learning for marked temporal point processes, covering event representation, policy optimization, and applications in information propagation and knowledge creation.

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

International Centre for Theoretical Sciences

Machine Learning at Amazon by Rajeev Rastogi

Explore machine learning applications at Amazon, from product recommendations to size prediction, with insights on challenges and innovative approaches in e-commerce AI.

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

International Centre for Theoretical Sciences

Toward Theoretical Understanding of Deep Learning - Lecture 2

Explores theoretical aspects of deep learning, including overparameterization, optimization, generalization, and generative models, offering insights for researchers and practitioners in machine learning.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Mathematics of Machine Learning: An Introduction - Lecture 1

Comprehensive introduction to machine learning fundamentals, covering mathematical formalization, deep learning concepts, optimization techniques, and real-world applications in various domains.

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

International Centre for Theoretical Sciences

Science, the Fulcrum for Social and Economic Change by K VijayRaghavan

Exploring science's role as a catalyst for societal and economic transformation, emphasizing its importance in national development and addressing global challenges.

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

International Centre for Theoretical Sciences

Deep Learning Applications by Rina Panigrahy

Explore deep learning applications, from basic concepts to advanced techniques. Learn about neural networks, optimization methods, and real-world uses in image and speech recognition.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

From Information Theory to Learning via Statistical Physics - Introduction

Explore connections between information theory, statistical physics, and learning. Delve into classical statistics, high-dimensional problems, and Bayesian approaches, with applications in signal processing and regression.

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

Applied Algebraic Topology Network

Efficient Invariant Embeddings for Universal Equivariant Learning

Explore efficient invariant embeddings for universal equivariant learning, focusing on group symmetries in machine learning tasks and their applications in various architectures like CNNs and graph neural networks.

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

Applied Algebraic Topology Network

MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity

Explore molecular dynamics simulations and machine learning techniques to analyze interfacial hydrophobicity, focusing on efficient data analysis methods and topological approaches for complex chemical systems.

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

Applied Algebraic Topology Network

GPU Accelerated Computation of VR Barcodes in Evaluating Deep Learning Models

GPU-accelerated computation of VR barcodes for evaluating deep learning models, focusing on Ripser++ software and its applications in measuring data distribution shifts and analyzing attention graphs in BERT models.

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

Applied Algebraic Topology Network

Gunnar Carlsson - Deep Learning and TDA

Explore deep learning's interaction with Topological Data Analysis, focusing on explainability and performance enhancement in neural networks and various data analysis applications.

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

Applied Algebraic Topology Network

Gunnar Carlsson - Topological Deep Learning

Explore TDA-inspired approaches to deep learning, addressing issues like data hunger and generalization. Discover topological methods for building neural networks and analyzing weight spaces across various datasets.

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