Data Mining / Machine Learning
Uncover Information Using Modern Analytics
Collecting large amounts of data has become easy. However, deriving valuable insights from them often requires suitable advanced techniques. Many methods from Data Mining and Machine Learning are available, e.g. clustering, principal component analysis, neural networks... – but which does what?
Our training sessions equip you with a clear understanding of the most widely used methods, their similarities and their differences. The practical applications will enable you to gain insight into which approaches best suit your own data-driven challenges.
On-line analytical processing (OLAP), learning approaches, clustering, classification, neural networks, etc.
Scatterplot matrices, trellis display, principal components analysis, CART, discriminant analysis, clustering, etc.
Feed-forward networks, learning, backpropagation, fitness, recombination, mutation, applications, etc.
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