dashboard    feed    |FILTER :    videos    slides    links    quiz    |SEARCH :    youtube    slideshare    quizlet    Google    
Posts
YouTube
End-to-end analytics with Oryx, Spark and MLLib - Sandy Ryza (Cloudera)
End-to-end analytics with Oryx, Spark and MLLib Sandy Ryza (Cloudera)
07-Mar-2015


27-Apr-2014
Frequent Pattern Mining | Data Mining Articles

Data Mining Articles : Association Analysis || Classification || Data Mining Concepts || Data Mining Introduction
27-Apr-2014
Movie recommendations and more with Spark - Crouching Data, Hidden Markov

This post is inspired by Edwin Chen?s post on Scalding. I encourage you to first read that post! The Spark code is adapted from his Scalding code and ?
16-Apr-2014


07-Apr-2014
Recommender Systems ? Introduction and Handbook ? Supporting Website

Supporting website for the text books 'Recommender Systems An Introduction', 'Persuasive Recommender Systems' and 'Recommender Systems Handbook'
06-Apr-2014
Recommendation Systems: What is the difference between SVD and matrix factorization in context of recommendation engine? - Quora

Answer 1 of 3: I have seen two broad uses of matrix factorization in recommenders. Both involve low-rank approximate factorizations. The first is really a ge...
06-Apr-2014


06-Apr-2014
Algorithms :: Single Value Decomposition

AlgorithmsDimensionality Reduction and the Singular Value Decomposition
06-Apr-2014
recommender system - How do I use the SVD in collaborative filtering? - Cross Validated

How do I use the SVD in collaborative filtering?
06-Apr-2014
Similarity Functions for User-User Collaborative Filtering | GroupLens

Similarity Functions for User-User Collaborative Filtering
06-Apr-2014
SVD Recommendation System in Ruby - igvita.com

SVD Recommendation System in Ruby
06-Apr-2014
Week 7: hunch.com, Recommendation Engines, SVD, Alternating Least Squares, Convexity, Filter Bubbles | Introduction to Data Science, Columbia University

Each week Cathy O?Neil blogs about the class. Cross-posted from mathbabe.org Last night in Rachel Schutt's Columbia Data Science course we had Matt Gattis come and talk to us about recommendation engines. Matt graduated from MIT in CS, worked at SiteAdvisor, and co-founded hunch as its CTO, which recently got acquired by eBay. Here's what?
06-Apr-2014
GraphLab: Distributed Graph-Parallel API: Collaborative Filtering

HistoryAlgorithmsInputComputing ratings (test predictions)
03-Apr-2014


13-Nov-2013