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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Mathematics of Machine Learning
18.657

Mathematics of Machine Learning

Prof. Philippe Rigollet | Fall 2015
Data Science, Analytics & Computer Technology AI Algorithms and Data Structures Machine Learning Computer Science Data Science Science & Math Mathematics
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CC BY-NC-SA 4.0
課程簡介

Broadly speaking, Machine Learning refers to the automated identification of patterns in data. As such it has been a fertile ground for new statistical and algorithmic developments. The purpose of this course is to provide a mathematically rigorous introduction to these developments with emphasis on methods and their analysis.

You can read more about Prof. Rigollet’s work and courses on his website.

Course Information
SourceMIT 開放式課程
科系Mathematics
LanguageEnglish
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