Gourav Jain

Gourav Jain

San Francisco Bay Area
10K followers 500+ connections

About

Gourav is a seasoned Data Science Manager with over 10+ years of experience…

Activity

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Experience

  • Apple Graphic

    Apple

    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

Education

Publications

  • Performance Evaluation of Semi Supervised Support Vector Machine for Network Intrusion Detection

    Evaluated the performance enhancement through Semi Supervised Learning techniques over Supervised Learning techniques for classification task.

Courses

  • Advanced Data Structures and Algorithms

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  • Computer Networks

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  • Database Management System

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  • Introduction to Machine Learning

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  • Kernel Methods for Pattern Analysis

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  • Knowledge representation and reasoning in artificial intelligence

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  • Memory Based Reasoning in AI

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  • Operating Systems

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  • Planning and constraint satisfaction

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  • Social Network Analysis

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Projects

  • Case Based Reasoning(CBR) in a game of Cricket

    This project was aimed to build a Case Based Reasoning system that takes as input, the data of unfinished one day international match and outputs matches that one get reminded of, while watching given match.
    It also presents a statistical method for predicting whether the match was a memorable one for an unbiased human.

    Other creators
  • Voting behavior analysis in the election of Wikipedia admins

    This project was aimed to study Wikipedia admin-ship request process within the context of a social network and impact of different factors of social network on individual voter’s decision making process and the overall election outcome.
    A social network based on communication between the users is considered and the network is analyzed to discover the factors that influence voting behavior at different stages of the election.

    Other creators
  • Network Intrusion Detection using Semi Supervised Support Vector Machine

    The aim of this project is to build a system that can classify incoming network packet as infected or clean based on packet attributes.
    Classification is done using Semi Supervised Support Vector Machine (Semi Supervised being the machine learning technique and Support Vector Machine is the classification module).

    Other creators
    • Kushagra Katiyal
    • Chayan Bhaisare

Languages

  • English

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  • Hindi

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