The Linear Model II - More about linear models. Logistic regression, maximum likelihood, and gradient descent.
This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) enables computational systems to adaptively improve their performance with experience accumulated from the observed 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.
Caltech, the California Institute of Technology, was founded in 1891 in Pasadena, California, and is one of the world's leading educators in science and engineering. Caltech offers top-ranked undergraduate and graduate programs in six academic divisions, including Biology, Chemistry and Chemical Engineering, and Engineering and Applied Science. It also operates off-campus facilities such as the Jet Propulsion Laboratory (JPL) and the Palomar and Keck Observatories. Caltech's faculty and alumni have received 32 Nobel Prizes, as well as 56 National Medals of Science.