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With Lauren McCarthy (Head of Machine Learning, Instadat).
Thursday, August 24, 2017 at 06:30 PM    Cost: Absolutely Free
Galvanize NYC, 315 Hudson St, 2nd Fl

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AI Case Studies

** This is a Three-Part Series
Part I: Tuesday, 8/22 6:30-8:30 PM
Part II: Thursday, 8/24 6:30-8:30 PM
Part III: Tuesday, 8/29 6:30-8:30 PM

How does AI affect your industry?

This Meetup is for beginners & does not require prior programming experience.


Lauren McCarthy is the Head of Machine Learning for Instadat, an AI company focused on developing groundbreaking technology that can provide accurate & malleable predictive analytics. In 2015 we filed for a joint invention patent with NYU for our evolving deep learning & feature engineering feedback loop. Our new multi-agent framework allows us to efficiently tackle difficult problems & increase performance. Agents work together in communities to share information & optimize solutions ranging from locating & integrating the most valuable data to how best to combine model & feature set information to solve complex problems like portfolio optimization. Instadat currently partners with global financial institutions to provide wide encompassing solutions from cyber security to financial sales prioritization.

Sam Mishra is an expert of Python, MySQL, C++ & other languages. His recent work focuses on Machine Learning to address Big Data problems in DNS networks & Social Engineering in Cybersecurity.

Bud Mishra is an Indian American computer scientist & professor at the Courant Institute of Mathematical Sciences of New York University. Bud received a B.Tech. degree in Electronics & Electrical Engineering from the Indian Institute of Technology Kharagpur. He then received M.S. & Ph.D. degrees in Computer Science from Carnegie Mellon University. He is also a visiting scholar at the Cold Spring Harbor Laboratory, as well as a Co-Founder of OpGen & MRTechnology, two biotechnology/genomics companies. He also maintains a position as principal investigator at the Center for Malicious Behavior & Model Checking. He has worked on statistical machine learning & data science wit applications to health care, advertising, finance & social media.

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