Representation Learning Courses and Certifications

Generalization and Personalization in Federated Learning - Karan Singhal

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Stanford University offers a short, insightful session on Federated Learning and its applications in Medical AI, led by Google Research's Karan Singhal.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Towards Generalist Imaging Using Multimodal Self-Supervised Learning - Mars Huang

Stanford University offers a short program on developing generalist medical imaging models using multimodal fusion techniques and self-supervised learning, led by Ph.D. student Mars Huang.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Deploying Autonomous Service Mobile Robots, and Keeping Them Autonomous

Explore the challenges of deploying autonomous service mobile robots in unstructured environments with Stanford University. Learn about robustness, overcoming failures, and adapting to user needs.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

Explore AI research with MIT's seminar, delving into unsupervised learning, generative models, and self-assembling AI. Less than 1-hour workload.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

The Information Knot - Tying Sensing and Action; Emergence Theory of Representation Learning

Explore modern artificial intelligence with Stefano Soatto in this less than 1-hour seminar from NYU, covering representation learning and information bottlenecks.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

IIIT-Delhi;  NPTEL

Social Network Analysis

A 12-week course by Indraprastha Institute of Information Technology Delhi, focusing on the analysis of large-scale social networks, covering network measures, growth models, link analysis, and more.

• Swayam
• 12 weeks
• 21st Jul, 2024
• Free Online Course

Aleksa Gordić - The AI Epiphany

Graph SAGE - Inductive Representation Learning on Large Graphs - GNN Paper Explained

Dive deep into Graph SAGE, the first paper to promote the use of GNNs for large graphs, in less than an hour with The AI Epiphany.

• YouTube
• 44 minutes
• On-Demand
• Free Online Course

Open Data Science

Effective Transfer Learning for NLP - Madison May - ODSC East 2018

Explore transfer learning in NLP with Open Data Science. In less than an hour, learn efficient mechanisms for sequence representations and practical improvements on real-world tasks.

• YouTube
• 44 minutes
• On-Demand
• Free Online Course

Open Data Science

Information Flow and Deep Representation Learning

Explore deep learning algorithms and representation learning in neural nets with Open Data Science. Gain insights into nuisance insensitivity and disentanglement in under an hour.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

Simons Institute

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

Explore representation learning of grounded language and knowledge with Simons Institute. Understand intelligent communication, procedural language, unsupervised learning, and more in under an hour.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

Simons Institute

Tractable Learning in Structured Probability Spaces

Explore structured probability spaces with UCLA's Adnan Darwiche in this under 1-hour material from Simons Institute. Learn about logical inference, learning algorithms, and more.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Simons Institute

Continuous State Machines and Grammars for Linguistic Structure Prediction

Explore linguistic structure prediction with Simons Institute's under 1-hour material. Learn about global paradigms, greedy parsing, recurrent neural networks, and more.

• YouTube
• 38 minutes
• On-Demand
• Free Online Course

Institute for Advanced Study

Learning Representations Using Causal Invariance - Leon Bottou

Explore causal invariance in machine learning with Leon Bottou from Facebook AI Research, in a short workshop offered by the Institute for Advanced Study.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Learning Transferable Human Behavior Representations From Sensor Data - Flora Salim

Learn to interpret human behavior from sensor data in less than an hour with ACM's concise program, covering everything from preprocessing to domain adaptation.

• YouTube
• 44 minutes
• On-Demand
• Free Online Course