YouTube Courses

Stanford Seminar - Towards Theories of Single-Trial High Dimensional Neural Data Analysis

Explore high-dimensional neural data analysis, focusing on single-trial theories, task complexity, and latent state recovery. Gain insights into advanced neuroscience concepts and methodologies.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course

Computational Memory - A Stepping-Stone to Non-Von Neumann Computing?

Explore computational memory as a potential alternative to traditional computing, covering in-memory computing, resistive memory devices, and applications in AI and data processing.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Making "Making" Accessible

Explore accessible "making" through assistive technology, 3D printing, and design exercises. Learn to teach high-tech skills and choose appropriate tools and materials for inclusive maker projects.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course

Stanford Seminar - An Architect's Point of View on Emerging Technologies

Explore emerging technologies in computing from an architect's perspective, covering Moore's Law, scaling challenges, new devices, memories, 3D integration, and architectural simulation tools.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Online Course

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video