I am very proud that I have successfully accomplished the MMDS course from Stanford University. It was unbelievable interesting to learn the theories and the mathematical basics of topics like MapReduce, Web-link analysis, Data-streams, Locality-sensitive hashing, Computational advertising, Clustering, Recommender systems, Analysis of large graphs, Decision trees, Dimensionality reduction, Support-vector machines, and Frequent-itemset analysis.
It was really hard for me to follow all the topics, because I started to late (in the third week of the course), had a lot of work to do for my customers and have not seen any linear algebra since at least a decade. I had only the the nights to learn and to do the required homework. During the final examen, my complete family was ill and I have to care them.
But in the end I did it: