Artificial Intelligence for the Non-Data-Scientist

In this talk I'd like to talk about Machine Learning and AI from the point of view of a software engineer involved in more mobile and middleware projects than big-data ones. We'll look at core ML/AI concepts, available tools and the kinds of projects that AI can be used effectively in. Hopefully this session will set us up for deeper dives into the ML/AI space in future sessions

Apr 28, 2021, 11:00 PM – Apr 29, 2021, 12:00 AM

25
RSVP'd

Key Themes

AndroidMachine Learning

About this event

In this talk I'd like to talk about Machine Learning and AI from the point of view of a software engineer involved in more mobile and middleware projects than big-data ones. We'll look at core ML/AI concepts, available tools and the kinds of projects that AI can be used effectively in. Hopefully this session will set us up for deeper dives into the ML/AI space in future sessions


Speaker: Arpit Mathur

Arpit Mathur is a Principal Engineer at Comcast Labs where he is currently working on a variety of topics including Machine Learning, Affective Computing and Blockchain applications. Arpit has also worked extensively on Android and iOS applications, Virtual Reality apps as well as with web technologies like JavaScript, HTML and Ruby on Rails. He also spent a couple of years in the User Experience team as a Creative Technologist.

Arpit holds a Master's degree in Computer Engineering from Rutgers, the State University of New Jersey and an Undergraduate from the University of Madras in Electronics and Instrumentation.

Organizers

  • John Mahoney

    GDG Organizer

  • Arpit Mathur

    Comcast

    GDG Organizer

  • Farzad Barzin

    BEX Realty

    Director of Mobile Applications

  • Layla B

    Drexel University

    Doctoral Student

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