Machine Learning Courses and Certifications

Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu

Explore structured state space models for efficient long sequence modeling across modalities, featuring S4's innovative approach to handling extended dependencies in various data types.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

Explore visual tools for causal inference study design, focusing on assignment-control plots to analyze covariate distribution and improve observational and experimental studies.

• YouTube
• 57 minutes
• On-Demand
• Free Video

How Can You Trust Machine Learning?

Explore the pillars of trust in machine learning: clarity, competence, and alignment. Learn about processes and techniques to develop more effective and trustworthy AI systems.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Joint Learning Over Visual and Geometric Data

Explore joint learning approaches in visual and geometric domains to reduce supervision load, leveraging data correlations and self-supervision for improved performance and efficiency.

• YouTube
• 59 minutes
• On-Demand
• Free Video

How Machine Learning is Changing Software

Explore how machine learning is revolutionizing software development, from weak supervision to self-supervised systems, with insights from Stanford's Chris Re on emerging challenges and industry applications.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Picking on the Same Person - Does Algorithmic Monoculture Homogenize Outcomes?

Explore algorithmic monoculture's impact on decision outcomes, examining data sharing effects, ethical implications, and potential risks to fairness and individual autonomy.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud

Explore distributed perception and learning in robotics, focusing on cloud-robot interactions, offloading strategies, and efficient data sampling for improved performance and cost reduction.

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

Stanford Seminar - SMILE- Synchronized, Multi-sensory Integrated Learning Environment

Explore synchronized, multi-sensory integrated learning environments and their impact on distributed systems, cyber-physical networks, and innovative educational technologies.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Can the Brain Do Back-Propagation?

Explore the brain's potential for back-propagation learning, examining challenges, alternative methods, and implications for neuroscience and machine learning.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Online Course

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
• On-Demand
• Free Video

Exploring the Implications of Machine Learning for Cognitive Disabilities

Exploring machine learning's potential to enhance cognitive disability support through natural language processing, emotion detection, and autonomous systems for improved understanding and interaction.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Scoring News Articles to Fight Misinformation

Explore an AI-driven approach to automatically score news articles, enhancing journalistic quality and combating misinformation through innovative pricing and content curation strategies.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Stanford Seminar - Computing with Physical Systems

Explores Physical Neural Networks and training complex physical systems for machine learning, showcasing experiments in mechanical, electronic, and photonic systems for tasks like handwritten-digit classification.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Interactive Imitation Learning: Planning Alongside Humans

Interactive imitation learning for robots: tackling feedback-driven covariate shift and predicting human intent using graph neural networks, with applications in self-driving vehicles.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Stanford Seminar - Computing with High-Dimensional Vectors

Explore high-dimensional vector computing as a complement to traditional methods, bridging symbolic AI and neural nets. Learn about its operations, applications, and potential in machine learning and nanotechnology.

• YouTube
• 59 minutes
• On-Demand
• Free Video