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Practical Course Advanced Networking (Summer 2016): Difference between revisions
Practical Course Advanced Networking (Summer 2016) (view source)
Revision as of 13:45, 16 February 2016
, 16 February 2016→Prerequisites
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==Prerequisites== | ==Prerequisites== | ||
You are ''highly recommended'' to have completed a course on Data Science (e.g., "Data Science and Big Data Analytics" taught by Dr. Steffen Herbold or the Coursera Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means classification, etc.). | You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Coursera Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means classification, etc.). | ||
==Passing requirements== | ==Passing requirements== | ||