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Machine Learning on Big Data

  • Jun 19, 2013 · 9:30 AM
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Agenda

Machine Learning in R(60 min.)
Shlomi LifshitsTel Aviv University
Given its strength in data analysis and visualization and the availability of algorithm implementations, the R language is an ideal platform for machine learning. The talk will include a minimal introduction to R and a demonstration of applying machine learning algorithms in R.

 

Automatic Predictive Modeling - (60 min.)
Prof. Jacob Zahavi, Tel Aviv University
We are developing the next generation of data mining software, focusingon predictive modeling. Written in R, the software encompasses the entirerange of the model building process including sampling, data preprocessing,exploratory data analysis, feature extraction, feature selection, modeling,knowledge evaluation, scoring, and decision making and reporting.What distinguishes our software from other data mining packages is ourinnovative rule-based expert system approach for addressing the featureselection problem which allows us to solve this most difficult problem ofbuilding large scale models in a completely automatic way.
In this talk, we describe the model building process of the software andprovide a demo of it.

 

Rapid (way to become a) Miner - (2 Sessions of 45 Min)
Eran A. & Eran B. 
Intel Advanced Analytics
This talk will provide you the basic knowledge on how to use one of the leading open source Data Mining Tools – RapidMiner (http://rapid-i.com/content/view/181/190/)
Leveraging the CRISP_DM methodology we will present a creation of E2E solution with RapidMiner.

RapidMiner is unquestionably the world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data-mining engine for the integration into own products. Thousands of applications of RapidMiner in more than 40 countries give their users a competitive edge.


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  • EliG

    A bit late but thanks for organizing this event, and of course to the presenters. As for me, I got disappointed from the small role of 'Big Data' considerations in the lectures. I hope that a future meetup could fix that.

    June 29, 2013

  • Avner A.

    Your can find the Presentations and example files in:
    http://files.meetup.com/1724101/ML%20%26%20Big%20Data%20_%20June%202013.zip

    June 24, 2013

  • Nissim M.

    Have any written down Ronen Me'iri email ? I would like to ask him a question

    June 19, 2013

    • Ronen

      My email address is [masked]

      June 23, 2013

  • Andrey D.

    Just wanted to say thanks for organizing this, it was an interesting event!
    If possible, perhaps consider some networking time for next meetups - we are currently looking for machine learning experts and data scientists, and I would welcome a chance to get to know more of the people who attended.

    June 23, 2013

  • Mose c.

    Hi, Could you update where can I find he presentations ?

    June 20, 2013

  • Markku K.

    Intresting topic but I would have understood more if it would have been in english.

    June 19, 2013

  • Assaf A.

    Thanks for everyone who attended. We will gather the presentations and put them in the site, it will take 1-2 days. If you have request / want to present in next session please send a mail to Avner or me

    June 19, 2013

  • Vulf

    It was great. Where can I get the presentation of R and RapidMiner?

    June 19, 2013

  • Ron C.

    Great presentations. Clear and informative also for people not within the field (i.e. me).

    June 19, 2013

  • Tal

    Is anyone coming from halacha/ramat gan?

    1 · June 18, 2013

  • Nissim B.

    Any chance this event is put on video (for those of us attending the Biannual AI/ML confrtrnce) ?

    3 · June 18, 2013

  • tamir aldema t.

    interesting...

    June 13, 2013

  • Eyal L.

    We will probably be two people joining from Feedvisor.

    June 13, 2013

  • Tomer R.

    Will the lecture be in Hebrew or English?

    June 11, 2013

  • Tamir S.

    Prior knowledge about ML is required?

    June 10, 2013

  • Yuval F.

    Data miners vote - and the result is a tie between RapidMiner and R:
    http://www.kdnuggets.com/2013/06/kdnuggets-annual-software-poll-rapidminer-r-vie-for-first-place.html
    And, coincidentally, RapidMiner and R are the tools to be discussed in this meetup.

    1 · June 5, 2013

  • Ofer K.

    going

    May 20, 2013

  • Genady

    Interesting to learn machine learning technologies.

    May 20, 2013

  • Amnon D.

    looking forward

    May 20, 2013

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