Outline:
This is an introductory course on machine learning that covers the basic theory, algorithms and applications. Machine learning (ML) uses data to recreate the system that generated the data. ML techniques are widely applied in engineering, science, finance, and commerce to build systems for which we do not have full mathematical specification (and that covers a lot of systems). The course balances theory and practice, and covers the mathematical as well as the heuristic aspects. Detailed topics are listed below.
From the webpage:
Real Caltech course, not watered-down version
Broadcast live from the lecture hall at Caltech
And so, the competition of online course offerings begins. 😉