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Galvanize New York Presents: AI Case Studies - Machine Learning and Cyberse...

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Location

Galvanize New York

315 Hudson Street

Floor 2

New York, NY 10013

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Refunds up to 7 days before event

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Description

AI Case Studies

** This is a Two-Part Series

Part I: Tuesday, 10/24 6:30-8:30 PM
Part II: Thursday, 10/26 6:30-8:30 PM


Description:

How does AI affect your industry?


Prerequisites:

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


Instructors:

Lauren McCarthy is the Head of Machine Learning for Instadat, an AI company focused on developing groundbreaking technology that can provide accurate and malleable predictive analytics. In 2015 we filed for a joint invention patent with NYU for our evolving deep learning and feature engineering feedback loop. Our new multi-agent framework allows us to efficiently tackle difficult problems and increase performance. Agents work together in communities to share information and optimize solutions ranging from locating and integrating the most valuable data to how best to combine model and 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++ and other languages. His recent work focuses on Machine Learning to address Big Data problems in DNS networks and Social Engineering in Cybersecurity.

Bud Mishra is an Indian American computer scientist and professor at the Courant Institute of Mathematical Sciences of New York University. Bud received a B.Tech. degree in Electronics and Electrical Engineering from the Indian Institute of Technology Kharagpur. He then received M.S. and 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 and MRTechnology, two biotechnology/genomics companies. He also maintains a position as principal investigator at the Center for Malicious Behavior and Model Checking. He has worked on statistical machine learning and data science wit applications to health care, advertising, finance and social media.





About our Sponsor

Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:

  • Education - part-time and full-time training in web development, data science, and data engineering

  • Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth

  • Networking - events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit galvanize.com.



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Location

Galvanize New York

315 Hudson Street

Floor 2

New York, NY 10013

View Map

Refund Policy

Refunds up to 7 days before event

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