United States Courses & Certifications

Stanford Seminar - Developing Design Spaces for Visualization - Tamara Munzner

Explore visualization design spaces, their creation, assessment, and application in data representation. Insights on chart combinations, data wrangling, and task abstraction for effective visual communication.

• YouTube
• 57 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Theories of Inference for Visual Analysis

Explore theories of visual inference, including uncertainty visualization, effect size judgments, and Bayesian cognition. Learn how visualizations support causal inference and model checks in data analysis.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course

Extended Reality for Everybody - Michael Nebeling

Explore extended reality design challenges and solutions, empowering novice designers and instructors with accessible tools and methods for creating AR/VR experiences.

• YouTube
• 57 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Explore maximum likelihood estimation in Bayesian networks, covering parameter learning, probabilistic inference, and advanced concepts like regularization and Expectation Maximization.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Explore advanced probabilistic inference techniques, including hidden Markov models, particle filtering, and Gibbs sampling, for AI applications in object tracking and more.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 1 - Inference - Stanford CS221: AI

Explore Bayesian networks for AI, covering probabilistic inference, modeling, and applications in object tracking, language modeling, and document classification.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Online Course

Data Overload - Making Sense of Statistics in the News, Kristin Sainani

Learn to critically analyze statistics in news, understand risk communication, and navigate common pitfalls in data interpretation with Stanford professor Kristin Sainani's insightful webinar.

• YouTube
• 58 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Computing with FPGAs - Oskar Mencer

Explore computing with FPGAs, covering system architecture, performance examples, and programming techniques. Learn about stream architectures, arithmetic styles, and application domains for FPGA-based solutions.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Explore deep learning applications in symbolic mathematics, covering integration techniques, ODEs, and model evaluation, with insights on generalization and comparisons to traditional methods.

• YouTube
• 53 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham

Explore AI's impact on accessibility, challenges in human-computer interaction, and innovative solutions for users with disabilities in this thought-provoking seminar.

• YouTube
• 1 hour
• Self-Paced
• Free Online Course

Stanford Seminar - Beyond Web Search

Explore advanced search techniques, personalization, and context-aware information retrieval beyond traditional web search methods.

• YouTube
• 57 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Lenia- Biology of Artificial Life, Bert Wang-Chak Chan

Explore artificial life through Lenia, a continuous cellular automaton. Delve into its evolution, physics, taxonomy, and comparisons with Earth life in this thought-provoking seminar.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Explore persistent and unforgeable watermarking techniques for deep neural networks, focusing on IP protection, embedding methods, and resistance to attacks.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

We will briefly review our past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, and then talk about some features, i.e. interrupt and virtualization, we are trying to introduce into the accelerators from the user's pe…

• YouTube
• 58 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Conflict and Technology

Explore the challenges and solutions in integrating FPGAs for high-performance computing, focusing on conflicts in technology, scaling, and application development.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Online Course