ACM San Francisco Bay Area Professional Chapter

We had a great kickoff event on August 18. The Hackathon continues until our Data Mining Camp on  Saturday, October 13 in San Jose

COMPETITION:   Which person or team can develop the best prediction of the product on the Best Buy mobile web site a visitor would be most interested in?  This competition will be set up using the www.Kaggle.com web site, making data science a sport.

CHALLENGE CHARACTERISTICS:

Two years of mobile behavior, 67 million clicks, 27 million searches, 8 million users, 1 million products

You can enter one or both competitions:

• Cloud computing sized problem
• PC sized problem (a sample of the cloud sized problem)

ANALYSIS APPROACHES:

You may find useful material in the chapter 16 of the 

2012 book “Scaling Up Machine Learning” or

GraphLab SVD, Vowpal Wabbit, Mahout, MADlib

http://en.wikipedia.org/wiki/Collaborative_filtering#Model-based

KICKOFF MEETING:

Saturday, August 18^th, 9am 

Talks in the morning about the problem, HP and Microsoft Cloud infrastructure

BigDataR Linux will provide a 2 hour course on GraphLab, Vowpal Wrabbit, MADlib

Sponsors are providing initial cloud compute time at HP and Microsoft!

See also http://aws.amazon.com/ec2/pricing/     (~ $1 / hr, High memory Linux, N CA)

Lunch provided by Microsoft (Thank You)

Cloud Center:  222 Caspian Dr, Sunnyvale, CA   www.SVcloudCenter.com

Free Registration for Kickoff (helps us estimate food):  http://sfbayacm.ticketleap.com/DM-Hackathon-2012-10

COMPETITION CLOSES:  Saturday, 10/6/2012, 6pm PST  

AWARDS GIVEN:  

At the Data Mining Camp, Saturday, October 13 in San Jose

See also the ACM Training Class on Big Data, Sunday Oct 14 in San Jose

 Prizes given:  $2,000+

SPONSORS:

	HP has donated cloud computing time.
	Best Buy has donated prize money.
	Microsoft has donated lunch for attendees and computing support.
	Amazon Web Services has donated compute time.

HACKATHON KICKOFF MEETING TALKS, NOTES AND LINKS: 

* Hackathon Kickoff by Greg Makowski - SF Bay ACM Chair

* Agenda of Upcoming Events and the Day by Tricia Hoffman - SF Bay ACM Chair of Data Mining

* Recommender Systems by Sarabjeet Chugh - Director at SunGard

* MetaZeta Clusters by Paul Baclace - Hadoop Consulting

       HP Cloud Services

* Big DataR and Best Buy Data Set by Nicholas Kolegraff - Data Scientist at Accenture

      Setting up an Amazon Web Services Account           Amazon Web Services

      Video:  BigDataR Linux + Data Science + Graphlab, up and running on AWS

      github BigDataR_Example code

* Azure Cloud by Brad Sarsfield - Software Engineer at Microsoft

       Windows Azure Cloud Services

       Apache Hadoop

       Hadoop Presentation     

COMPETITION LINKS (to get data, discuss, share, join teams, submit your results to the competition):

Kaggle's website for hosting competitions

1) Data Mining Hackathon on Big Data

2) Data Mining Hackathon on Smaller Data (start here)

3) Data Visualization competition  (may want to work with other teams)

Results

Big Data

Small Data

Visualization Contest

What and Where - Ashish Bansal  

BestBuy Query Cloud - Anand Prasanna