Parallel and Scalable Machine Learning

2018-03-06 00:00 - 2018-03-08 00:00
52428 Jülich, Deutschland

The course offers basics of analyzing data with machine learning and data mining algorithms in order to understand foundations of learning from large quantities of data. This course is especially oriented towards beginners that have no previous knowledge of machine learning techniques. The course consists of general methods for data analysis in order to understand clustering, classification, and regression. This includes a thorough discussion of test datasets, training datasets, and validation datasets required to learn from data with a high accuracy. Easy application examples will foster the theoretical course elements that also will illustrate problems like overfitting followed by mechanisms such as validation and regularization that prevent such problems.


All Dates

  • From 2018-03-06 00:00 to 2018-03-08 00:00