MOOC: Practical machine learning

30.3.2020 - 31.8.2020 23:59


An online course with 10 lectures offering a practical introduction to machine learning, including classification, regression, dimensionality reduction, and unsupervised learning. Topics covered include linear classification and regression, nearest neighbor methods, support vector machines, decision trees, neural networks, clustering, and anomaly detection.

To self-enroll in this MOOC course, please visit our eLena page.

To self-enroll you need HAKA credentials, if you do not have one please contact

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