Data mining seminar at RWTH/IMA Aachen

I am glad to be organizing a 3-day seminar (23-25 November) on Data Mining to graduate students of RWTH Aachen and the Institute of Information Management in Mechanical Engineering (IMA).

Material Day 1
Lecture slides
Practicals: Introduction to R
Practicals: Data exploratory analysis & pre-processing
Practicals: Classification: Decision Trees, Random Forests
Practicals: Classification / k-NN, Naive Bayes, SVM
Task description, Data

Material Day 2
Lecture slides
Practicals: Clustering / k-means, HAC
Practicals: Matrix factorization: Noise removal and recommender systems
Practicals: Document analysis: Latent Dirichlet Allocation
Task description, Data

Material Day 3
Lecture slides
Data
Practicals: Introduction to Neural Networks
Practicals: Convolutional Neural Networks for Image Classification
Practicals: The Google “Inception” Neural Network for classifying any image
Practicals: Word embeddings
Practicals: Character-based Recurrent Neural Networks for Language generation