Machine Learning on Big Data

  • March 5, 2013 · 9:00 AM
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09:00 - 09:30 Gathering

09:30 - 10:00

Introduction for Machine Learning

o             When to use Machine Learning?

o             Tools and Algorithms

10:00 - 10:30

Machine Learning on Big Data

o             Open source machine learning (e.g. Mahout & R)

o             Training phase & Prediction phase

10:30 - 11:00

Big Data Analytics architecture

o             No silver bullet - Limitations of solutions (SQL, NoSQL, Hadoop )

o             Limitations of algorithms

o             Architecture of solution combination

11:00 - 11:30 Coffee Break

11:30 - 12:00

Applying Machine Learning at Web Scale – Challenges and solutions

Speaker: Jonathan Schler, PhD, VP Technology DG (MediaMind)

12:00 - 12:30

Machine Learning Project characteristics

o             CRISP-DM (Cross Industry Standard Process for Data Mining)

o             Effect on the project life cycle

o             Skill set and roles

12:30 - 13:00



Assaf Araki, Big Data Analytics Architect, Intel Advanced Analytics

Yuval Feinstein, CTO, stealth start up


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  • Yuval Feinstein

    Please check out the sequel meeting demoing three machine learning frameworks: R, RapidMiner and Prof. Jacob Zahavi's automatic predictive modeling (Wed. June 19th, same place:)­

    May 21, 2013

  • Avner Algom

    Even's presentations can be found at:­

    2 · March 6, 2013

  • Ilana Jucha

    As Stat-Market is an expert in Machine Learning and Predictive Analytics, we'll be more than happy to contribute our fields' best practices. In any event, we'll have to separate between technical, operational and business sessions and as such bringing the right audience to the right session- that's what data mining is all about :)

    March 6, 2013

  • Yuval Feinstein

    Thanks for all your feedback. I think we should plan the next meeting along the lines of Shimon's comment - have something like two workshops using ML tools. Anyone with ideas/suggestions/tool preferences, please send them to Avner, so we could customize a meeting to fit the prospective audience.
    Plus I heard that Avner would not mind having several more speakers who have some expertise doing Machine Learning...

    1 · March 6, 2013

  • Moti Heller

    Good explanations regarding what you can do with ML - no examples how to do it...

    March 5, 2013

  • Shimon Doodkin

    i liked the crisp dm presentation the most. business is like a phone number you have to know the steps and you have to know the right order.

    March 5, 2013

  • Shimon Doodkin

    about that that people say "A bit basic" what i expected is hands on experience with machine learning as in first half of the book "Data Mining: Practical Machine Learning Tools and Techniques." and display each in example with hands on in each program like R,mahout. + short introduction to r language. + setup of mahout and R. and full process of crisp dm with simple data like 2 users and few sales for each user.

    March 5, 2013

  • Alon Sela

    anywhere to download the power point presentations?
    Some of the lecturs were said to be available for ppt downloading.

    1 · March 5, 2013

  • Raanan Raz

    A bit basic. I expected to get more into the product themselves.

    1 · March 5, 2013

  • Amit Moran

    I think the first presentation was too basic for the population

    March 5, 2013

  • Galit Wellner

    very interesting presentations!

    March 5, 2013

  • Gilad Amiri

    Would be interested in making ML/Analytics into a regular forum.

    1 · March 5, 2013

  • Kobi Gurkan

    Yuval Feinstein was great. I think MediaMind's lecture could be a lot more effective if it had more time to elaborate on technical topics instead of headlines.

    1 · March 5, 2013

  • Nimrod Priell

    Pier39 Case study was very interesting.

    1 · March 5, 2013

  • Peter Weinstein

    Excellent conference! Thanks

    March 5, 2013

  • Eli Benakot

    Will not be able to participate....

    March 4, 2013

  • Kobi Gurkan

    Should I come if I'm on the waiting list?

    March 4, 2013

  • Assaf Araki

    The list is full, please cancel if you are not planning to attend so others can register

    March 3, 2013

  • Eli Yucha

    Very interesting

    March 3, 2013

  • Boris


    February 6, 2013

  • Gilad Amiri

    Finally! the convergence of ML, Big data and the Cloud

    February 3, 2013

  • tamir aldema tshuva


    February 3, 2013

  • Orr Mendelson

    +1 guest

    February 3, 2013

  • Alon Sela

    what is the location?

    February 3, 2013

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