LFU:online

Overview of current data science techniques for the use in analytical chemistry, but also in natural sciences in general

The lecture will deal with topics and pairs of terms like supervised-unsupervised machine learning, classification-regression, test set validation-cross validation, linear-non linear methods and clustering.

Those principles will be applied on analytical techniques like LC, IR, UV, MS, but they also can be used as basis for data evaluation in every field of natural sciences.

Vorlesung

written