English Courses

Stanford Seminar - Enabling NLP, Machine Learning, and Few-Shot Learning Using Associative Processing

Explore associative processing for machine learning and NLP, enabling massive parallel data processing and in-memory computing for improved efficiency in various AI applications.

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

Stanford Seminar - The Quest for Low Storage Latency Changes Everything

Explore advancements in storage technology, focusing on reducing latency through media and platform improvements, including NVMe, 3D Xpoint, and persistent memory.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Introduction to Computers - Stanford University

Comprehensive exploration of computer fundamentals, covering hardware, networks, web development, programming, security, and emerging technologies. Ideal for beginners seeking a solid foundation in computer science.

• YouTube
• 20 hours
• Self-Paced
• Free Online Course

Introduction to the Theory of Computing - Stanford

Explore fundamental concepts of theoretical computer science, including automata, computability, and complexity theory, with practical applications and algorithmic fairness.

• YouTube
• 20 hours
• Self-Paced
• Free Video

Stanford CS229 - Machine Learning Full Course Taught by Andrew Ng - Autumn 2018

Comprehensive machine learning series covering fundamental concepts to advanced topics, taught by Andrew Ng. Includes algorithms, neural networks, and reinforcement learning.

• YouTube
• 1 day 3 hours
• Self-Paced
• Free Online Course

Artificial Intelligence - Principles and Techniques - Autumn 2019

Understand Artificial Intelligence, its principles and techniques with this Standford engineering course.

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

Machine Learning with Graphs - Fall 2019

Comprehensive exploration of machine learning with graphs, covering network properties, community structures, graph neural networks, and their applications in various domains.

• YouTube
• 1 day 4 hours
• Self-Paced
• Free Video

Stanford CS234: Reinforcement Learning - Winter 2019

Explore reinforcement learning fundamentals to advanced techniques, covering policy evaluation, deep Q-learning, imitation learning, policy gradients, fast RL, and Monte Carlo tree search.

• YouTube
• 19 hours
• Self-Paced
• Free Online Course

Stanford CS330: Deep Multi-Task and Meta Learning

Explore advanced machine learning techniques for efficient learning across multiple tasks, including optimization-based meta-learning, Bayesian approaches, and reinforcement learning applications.

• YouTube
• 18 hours
• Self-Paced
• Free Online Course

iPhone Application Development Spring 2020

Learn SwiftUI for iOS app development through Stanford's comprehensive lectures covering core concepts, data flow, UI design, and integration with UIKit.

• YouTube
• 19 hours
• Self-Paced
• Free Video

GGP Course Videos

Comprehensive video series on General Game Playing, covering game description, management, playing strategies, and advanced topics like heuristic search and Monte Carlo methods.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Knowledge Graphs Seminar - Spring 2020

Explore knowledge graphs through Stanford's seminar series, covering fundamental concepts, applications, and advanced topics in this cutting-edge field of data representation and reasoning.

• YouTube
• 19 hours
• Self-Paced
• Free Video

Opioid Use Disorder Prediction Using AI and Existing Risk Models

Comparative study on AI models for predicting opioid use disorder, showcasing superior performance of transformer-based AI over existing clinical tools and other machine learning approaches.

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

Denoising Diffusion Models for Denoising Diffusion MRI - Tiange Xiang

Explore innovative self-supervised denoising techniques for diffusion MRI using denoising diffusion models. Learn about a three-stage framework integrating statistic-based theory for improved medical imaging quality.

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

Explaining Model Decisions and Fixing Them Through Human Feedback

Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.

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