New York University 3 credits Data Science
This required course for the MS in Data Science should be taken in the first year of study. It covers a wide variety of topics in machine learning, pattern recognition, statistical modeling, and neural computation. It covers the mathematical methods and theoretical aspects, but primarily focuses on algorithmic and practical issues. Prerequisites: ( Masters or Doctoral student or GA-No Degree) and ( DS-GA 1001 or DS-GA 2003 ).
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