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.
| Dozent: | John W. Paisley |
| Bereitgestellt von: | edX |
| Kurssprache: | Englisch |
| Kosten: | kostenlos |
| Level: | Fortgeschritten |
| Zertifikat erhältlich? | (Gebühr) |
| Format: | MOOC/Online-Kurs |
Wie gefällt Dir der Kurs 'Machine Learning'?
