From 33c0b2454663bdad3a4bd1726599ecb67459e4a7 Mon Sep 17 00:00:00 2001 From: anancds Date: Tue, 29 Nov 2016 10:38:17 +0800 Subject: [PATCH] Added CS246 Mining Massive Data Sets --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 476576c..5995d36 100644 --- a/README.md +++ b/README.md @@ -682,6 +682,12 @@ Topics covered include probability theory and Bayesian inference; univariate dis - [Readings](http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html) - [11-785](http://deeplearning.cs.cmu.edu/) **Deep Learning** *Carnegie Mellon University* Assignments Readings - The course presents the subject through a series of seminars and labs, which will explore it from its early beginnings, and work themselves to some of the state of the art. The seminars will cover the basics of deep learning and the underlying theory, as well as the breadth of application areas to which it has been applied, as well as the latest issues on learning from very large amounts of data. We will concentrate largely, although not entirely, on the connectionist architectures that are most commonly associated with it. *Lectures* and *Reading Notes* are available on the page. +- [CS246](http://web.stanford.edu/class/cs246/) **Mining Massive Data Sets** *Stanford University* Lecture Videos Lecture Notes Assignments Readings + - The course will discuss data mining and machine learning algorithms for analyzing very large amounts of data. The emphasis will be on Map Reduce as a tool for creating parallel algorithms that can process very large amounts of data. + - [Lecture Videos](http://www.mmds.org/#mooc) + - [Assignments](http://web.stanford.edu/class/cs246/handouts.html) + - [Lecture notes](http://web.stanford.edu/class/cs246/handouts.html) + - [Readings](http://www.mmds.org/#book) ------- ### Security