English Courses

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Online Course

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