This online course explores the essentials of machine learning and algorithms to help improve learning from data without human intervention.
Topics of the course include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection.
Methods include: linear and logistic regression, support vector machines, tree classifiers, boosting, maximum likelihood and MAP inference, EM algorithm, hidden Markov models, Kalman filters, k-means, Gaussian mixture models, among others.
| Instructor: | John W. Paisley |
| Provided by: | edX |
| Course language: | English |
| Fees: | free course |
| Level: | advanced |
| Certificate available? | (fee) |
| Format: | MOOC/online course |
How do you like the course 'Machine Learning'?
