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	Reviewer Name	Review Body
	Vladislav Severa	I took at DSR the autumn/winter batch of 2016 - and it was was very satisfactory experience: it took me through classical ML techniques, deep learning / especially computer vision, big data libraries like Spark, working with and on the cloud and, also, through a plethora of computer science algorithms, computability issues and similar matters. The curriculum was fostered by the portfolio project, for which there was enough of time and mentoring to do it thoroughly. If anything was a bit short then, then the time spent with NLP and perhaps graphs, which I am finding enormously interesting and useful now with a bit of a hindsight (but, also, libraries and algorithms for these moved enormously since my time at DSR). Last but definitely not least: it helped me spectacularly to be a part of the batch group - while I might have been ahead with a small number of topics, I was certainly behind with many more and the group interaction and help was invaluable; it was this personal level of interactions which in my mind substantially distinguishes DSR (and, in general, bootcamps) from MOOCs.

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