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Machine Learning for Start-Ups, Developers and Managers

General Assembly

Monday, July 9, 2012 from 8:00 PM to 9:30 PM (EDT)

New York, NY

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Event Details

Machine Learning for Start-Ups, Developers and Managers 

Monday, July 9th from 8:00 - 9:30 pm

Vinny Senguttuvan, Machine Learning Developer

In the past few years, Machine Learning has gone from an academic term to tech industry buzz word. But what is it and why should you care? This session will provides an overview on Machine Learning, what is can do and how major companies and technologies are using it today (Netflix, AP News, etc). We will take an intuitive look at some of the mathematical concepts and then see how these are applied to practical problems like language processing, recommendation systems and data classification.

This class will help a dev. manager or a startup CTO answer the following questions. When is a good time to add Machine Learning into the dev. system? What does the company stand to gain? And who is an ideal developer to implement that? For a developer, the class will layout the skill-set required to take up real-world Machine Learning implementations.

Prerequisites: The class is open to anyone. A familiarity with or willingness to hear about two mathematical concepts (conditional probability and matrix multiplication) would be helpful. A very intuitive and conceptual explanation of both will be provided in the class. 

Vinny Senguttuvan is a freelance Machine Learning developer. He is always working on multiple projects, teaching classes and enjoying the city. He holds an MS in Computational Engineering and worked in R&D at 20th Century Fox.
Have questions about Machine Learning for Start-Ups, Developers and Managers? Contact General Assembly

When & Where

10 E 21st St
New York, NY 10010

Monday, July 9, 2012 from 8:00 PM to 9:30 PM (EDT)


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Organizer

General Assembly

General Assembly is a campus for technology, design, and entrepreneurship. We provide educational programming, space, and support to facilitate collaborative practices and learning opportunities across a community inspired by the entrepreneurial experience.

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