OPEN DATA SCIENCE


ABOUT

Date: 30th-31st December 2017
Venue: LH 102
Reporting Time: 8am
Time: 9am-5pm

Open Data Science Workshop – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. Learn the principles of machine learning and the importance of algorithms. Go hands-on with the latest neural network, artificial intelligence, and data science techniques.

Why attend?

  • Several of the best minds and biggest names in data science will be presenting
  • Network with attendees from leading data science companies to learn how others are tackling similar problems
  • Gain quality training and cutting-edge insights in the hottest data science topics, tools, and languages
  • Learn the latest in data science from industry leaders without having to make room in the budget as tickets are surprisingly inexpensive
  • DETAILS


    Date: 30th - 31st December 2017

    Duration: 2 Days [8 hrs per day]

    Venue: IIT Bombay

    Cost of Workshop:
    ₹ 2,000/- per participant for Students.
    ₹ 4,000/- per participant for Professors
    ₹ 5,500/- per participant for Corporates/Professionals

    Team can consist of maximum 1 member

    Refund Deadline: 1st November 2017, No Refunds will be entertained after the Deadline.

    **Limited number of seats, only 80 seats left!

    **If the Workshop gets cancelled, all the participants will be given full refund, irrespective of the Deadline.

    CONTENT

    Objectives

  • Give a hands­on rich experience on the latest data science technology
  • Introduce the real big data applications and methodology
  • Teach computational approach for multi­level performance gain
  • Connect with Data Scientists
  • Share optimization techniques, tools and programming paradigm
  • Form a big Data Science community


  • You will learn:

  • Easy handling of structured/ unstructured big data
  • Ecosystem for general data science project
  • Applying machine learning & deep learning algorithm
  • Visualization, graph and advanced 3d visualization
  • Using scientific tools and libraries
  • Data analytics and intelligence

  • Prerequisite
  • Basic programming knowledge
  • Other details on preparation and laptop set­up will be posted soon

  • Target audience
  • Anyone who want to learn developing exciting applications for parallel processors, as well as those who want to develop programming tools and future implementations for these processors
  • Students, Faculty and Researchers from Academic Institutes
  • Researchers from Govt. Research Organizations
  • Engineers / Researchers from Industry


  • Level:Basic to Intermediate
    Topics to be covered in the workshop :

  • Data Scientist's journey
  • Introduction to data science
  • Scientific computing
  • Stack and setup
  • Data munging, wrangling and handling
  • Case study I: Machine learning and intelligence
  • Case study II: Mining and Analytics
  • Deep learning and neural network
  • Case study III: Optimization
  • Visualization and advanced graphics
  • Case study IV: Supercomputing tools and optimization


  • Note:​ The schedule and topics are standard and tentative, will be revised and updated if necessary. Software stack for hands­on session would be provided. Exam and assignments are part of the training and would be conducted during or after the workshop.

    RULES

    Eligibility :
    Participants having a valid ID card of their respective educational institutions are eligible for the workshop.

    Team specifications :
    Participants will have to register individually.

    Prerequisites :
    Basic programming knowledge, Laptops, wifi connectivity to access the supercomputing cluster. Each participant should bring one laptop and a dongle/Jio with them.

    Certificate criterion :
    Participants should be present in all the sessions. Failing this, no certificate will be awarded to the participant.

    CONTACT US

    Pranjal Agrawal
    pranjal@techfest.org
    +91 8828291914

    Date:
    30-31st December 2017

    OPEN DATA SCIENCE


    ABOUT

    Date: 30th-31st December 2017
    Venue: LH 102
    Reporting Time: 8am
    Time: 9am-5pm

    Open Data Science Workshop – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. Learn the principles of machine learning and the importance of algorithms. Go hands-on with the latest neural network, artificial intelligence, and data science techniques.

  • Several of the best minds and biggest names in data science will be presenting
  • Network with attendees from leading data science companies to learn how others are tackling similar problems
  • Gain quality training and cutting-edge insights in the hottest data science topics, tools, and languages
  • Learn the latest in data science from industry leaders without having to make room in the budget as tickets are surprisingly inexpensive
  • DETAILS


    Date: 30th - 31st December 2017

    Duration: 2 Days [8 hrs per day]

    Venue: IIT Bombay

    Cost of Workshop:
    ₹ 2,000/- per participant for Students.
    ₹ 4,000/- per participant for Professors
    ₹ 5,500/- per participant for Corporates/Professionals

    Team can consist of maximum 1 member

    Refund Deadline: 1st November 2017, No Refunds will be entertained after the Deadline.

    **Limited number of seats, only 80 seats left !

    **If the Workshop gets cancelled, all the participants will be given full refund, irrespective of the Deadline.

    CONTENT

      Objectives

    • Give a hands­on rich experience on the latest data science technology
    • Introduce the real big data applications and methodology
    • Teach computational approach for multi­level performance gain
    • Connect with Data Scientists
    • Share optimization techniques, tools and programming paradigm
    • Form a big Data Science community


    • You will learn:

    • Easy handling of structured/ unstructured big data
    • Ecosystem for general data science project
    • Applying machine learning & deep learning algorithm
    • Visualization, graph and advanced 3d visualization
    • Using scientific tools and libraries
    • Data analytics and intelligence

    • Prerequisite
    • Basic programming knowledge
    • Other details on preparation and laptop set­up will be posted soon

    • Target audience
    • Anyone who want to learn developing exciting applications for parallel processors, as well as those who want to develop programming tools and future implementations for these processors
    • Students, Faculty and Researchers from Academic Institutes
    • Researchers from Govt. Research Organizations
    • Engineers / Researchers from Industry


    • Level:Basic to Intermediate
      Topics to be covered in the workshop :

    • Data Scientist's journey
    • Introduction to data science
    • Scientific computing
    • Stack and setup
    • Data munging, wrangling and handling
    • Case study I: Machine learning and intelligence
    • Case study II: Mining and Analytics
    • Deep learning and neural network
    • Case study III: Optimization
    • Visualization and advanced graphics
    • Case study IV: Supercomputing tools and optimization


    • Note:​ The schedule and topics are standard and tentative, will be revised and updated if necessary. Software stack for hands­on session would be provided. Exam and assignments are part of the training and would be conducted during or after the workshop.

    RULES

      Eligibility :
      Participants having a valid ID card of their respective educational institutions are eligible for the workshop.

      Team specifications :
      Participants will have to register individually.

      Prerequisites :
      Basic programming knowledge, Laptops, wifi connectivity to access the supercomputing cluster. Each participant should bring one laptop and a dongle/Jio with them.

      Certificate criterion :
      Participants should be present in all the sessions. Failing this, no certificate will be awarded to the participant.

    Pranjal Agrawal
    pranjal@techfest.org
    +91 8828291914
    Div Six

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