Madrid Advanced Statistics and Data Mining Summer School
The courses cover topics such as Neural Networks and Deep Learning, Bayesian Networks, Big Data with Apache Spark, Bayesian Inference, Text Mining and Time Series. Each course has theoretical and practical classes, the latter done with R or Python.
The Madrid ASDM summer school is in its thirteenth edition this year, with hundreds of students from all over the world having attended so far. It comprises 12 intensive (15 lecture hours) weeklong courses, and a student may attend from one up to six courses. The courses cover topics such as Neural Networks and Deep Learning, Bayesian Networks, Big Data with Apache Spark, Bayesian Inference, Text Mining and Time Series. Each course has theoretical and practical classes, the latter done with R or python.
While the summer school is mainly attended by people from academia  PhD students and researchers, people from the industry also assist. The students come from diverse backgrounds, ranging from biology to economics to mathematics and physics. Last year, 111 students from 32 countries attended.
This year's edition will be held from June 25th to July 6th, at UPM's Montegancedo Campus in Madrid. Early bird fees are available until June 1st are 225 euros per course for academia members and 325 euros for attendants from industry.
Extended information on course programs, schedule and fees, as well as details about the venue, accommodation and transport are available at the school's website: dia.fi.upm.es/ASDM
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