Start Here
New to the course? Begin with these foundational videos.The Robotic AI Agent
A practical map for navigating robotic AI systems
Development Environment
Setting up the ROS2 Docker-based environment
Areas
- Foundations
- Neural Networks
- Computer Vision
- NLP
- Reasoning
- Planning
- Robotics
1. Course Introduction
The Robotic AI Agent
A practical map for navigating robotic AI systems
AI Course Introduction
Overview of the AI course structure and goals
AI Course Syllabus
Walking through the course syllabus
How We Understand Scenes
Human perception and imaging
Mathematical Prerequisites
Probability rules for machine learning
Sum and Product Rules
Fundamental rules of probability
2. Statistical Learning Theory
The Learning Problem
The Vapnik block diagram
Linear Regression (Part 1)
Extracting non-linear patterns with linear models
Linear Regression (Part 2)
Continuation of regression fundamentals
Gradient Descent
Optimizing with iterative methods
Entropy
Information theory principles
Maximum Likelihood Estimation
The workhorse of statistical modeling
Binary Classification
Classification and decision boundaries
Logistic Regression
Binary classification with the logistic model