Data Mining Camp – October 2012

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http://www.sfbayacm.org/DMcamp2012

 

Remember, you should officially register on

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  • Alec D.

    Great Camp! Thanks to all who helped make it a success.

    Is Andrew Ng's keynote available -- either as a video or slides from this camp or from somewhere else on the web?

    Thanks, again.
    Alec

    October 14, 2012

    • Julio C.

      I would like to see the keynot presentation too. Thanks

      October 17, 2012

    • Karl A.

      The keynote was not recorded by ACM. Perhaps someone else did. These slides match closely to what was presented: http://wws.princeton....­ and this video, made by Coursera's Co-founder, Daphne Koller, will give you over 95% of the material presented: http://www.ted.com/ta...­

      November 16, 2012

  • Karl A.

    CS229 Machine Learning Party with Andrew Ng
    November 15, 2012 at 6:00 PM - 9:00 PM
    Linkedin, Mountain View

    LinkedIn is thrilled to welcome the brightest minds in machine learning to celebrate the success and achievement of esteemed professor and educational visionary Andrew Ng. Professor Ng started the Stanford Engineering Everywhere (SEE) program, which placed a number of Stanford courses online for free. Among them was his own course on Machine Learning, CS229.

    Please note that registration for this event will be open only to CS229 students and alumni, and that space is limited. If you wish to attend, request an invitation by RSVPing here
    http://linkd.in/RNNhdT

    October 23, 2012

  • Bill

    Great -again! Year after year - just great!

    October 14, 2012

  • Tricia H.

    Hackathon Winning Techniques
    Abstract:
    The winners will present their solutions and discuss the pros and cons of approaches used. Which techniques improved scores the most? How did they gain insight into the data?
    Organizer - Patricia Hoffman
    Big Data Contest Winners
    •Guocong Song 1st Place San Jose, CA
    –Machine Learning & Data Visualization – Wireless Network Diagnostics
    –Stephen O. Rice Prize: Best Paper Award IEEE Transactions on Communications
    •Kingsfield Huang 2nd Place Nanjing, China
    –R&D Software Engineer MiTian Tech – mobile advertising
    •Kevin Gu 3rd Place
    –KDD Cup 2012 Tack 1 Winner
    Small Data Contest Winners
    •David Thomas 1st Place Dayton, OH
    –Senior Software Engineer at SAIC
    –Multi-sensor data collection systems for DARPA & Air Force Research Lab
    •Vadmir Danilov 2nd Place St. Petersburg, Russia
    –Thank you to Dr. Ng for Coursera
    –Hobby – Data Mining / Machine Learning
    •Yasser Tabandeh 3rd Place Iran
    –Kaggle Rating 8th

    October 11, 2012

  • Tricia H.

    Data Science - How To Do It

    Abstract:
    How does one start a data science effort in a company and make it successful?
    How does one get in to "data science"?
    In this session, leading data scientists will share some of what they have learned
    from building and contributing to strong analytics, data engineering and data science groups.
    They will also offer advice to those who want to be data professionals about how to enter the field.

    Organizer - Paul O'Rorke

    October 11, 2012

  • Tricia H.

    Jeff Miller has just canceled due to his health.

    October 10, 2012

  • Tricia H.

    Managing Data for Millions of Users in the Cloud with Amazon Web Services (AWS) by Jeff Miller
    Topics include: Data technologies for millions of users, RDS, NoSQL/DynamoDB, EC2 + Relational DB, EC2 + NoSQL, regions/zones , horizontal and vertical scaling, and cost considerations.
    RHadoop by Antonio Piccolboni
    RHadoop combines R with the scalability of Hadoop. Topics include: rhdfs, rmr and rhbase.
    Recommender Systems for E-Commerce by Junling Hu
    Discussion recommender systems in the E-commerce domain which address the large number of products and lack of explicit user ratings on these products.
    Data Zen: Avoiding the data death march by Nick Kolegraff
    Using Data Zen to battle Data Dementia. A simply methodology for avoiding the data science death march.
    Inferring Statistical Structure by Peter Kassakian
    In this proposed session, we will discuss applications with objectives that aren’t well-summarized in a prediction error metric, and consider approaches for handling them.

    October 4, 2012

  • Bill

    Proposals are still being accepted. Brief descriptions of Current Proposals are detailed at http://www.sfbayacm.org/proposed-sessions-data-mining-camp-%E2%80%93-october-2012

    October 3, 2012

  • Tricia H.

    Proposals are still being accepted. Brief descriptions of Current Proposals are in the following post and are detailed at http://www.sfbayacm.org/proposed-sessions-data-mining-camp-%E2%80%93-october-2012

    October 3, 2012

  • Karl A.

    Don't forget to officially register on http://sfbayacm.ticketleap.com/dm-camp-2012/

    September 28, 2012

  • Tricia H.

    Don't miss the Keynote Speaker - Andrew Ng, Co-founder, Coursera and Director, Stanford Artificial Intelligence Lab !!!

    The Online Revolution: High-Quality Education for Everyone

    September 11, 2012

  • Cliff Y.

    @nick for sure nick! Really enjoyed your hackathon talk last sat!

    August 21, 2012

  • Tricia H.

    Please let me know what topics you are interested in facilitating!
    What topics would you like to attend?

    August 14, 2012

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