World Mentoring Academy "An Open Community for Successful Learning"

Free World class mobile education, earn a Bachelors for less than $5,000 books & Test Fees from State Universities, using Experiential, Design & Project based education. Supporting credit-by-exam & Challenging University courses.

Information for lesson "Machine Learning (CS 229) Stanford"

Description: statistical pattern recognition, linear and non-linear regression, non-parametric methods, exponential family, GLMs, support vector machines, kernel methods, model/feature selection, learning theory, VC dimension, clustering, density estimation, EM, dimensionality reduction, ICA, PCA, reinforcement learning and adaptive control, Markov decision processes, approximate dynamic programming, and policy search. Prerequisites: linear algebra, and basic probability and statistics.

Language: English

Professors: Michael Williams

Units: 21

Enroll

Interested in Mentoring? We are looking for mentors/teachers who are amateurs or professionals in every field. Drop me a line at mike @ worldmentoringacademy . com (in subject line "teaching course")