Build a practical, plain-language understanding of machine learning so you can assess AI-enabled ideas, ask sharper questions, and make informed decisions without writing code.
Overview
Syllabus
- Course 1: The Evolution of Machine Intelligence
- Course 2: From Training Data to Practical Evaluation
- Course 3: Choosing Inputs and Reading Results Responsibly
- Course 4: Neural Networks: From Inputs to Predictions
- Course 5: Feedback-Driven AI Systems