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EVENT DETAILS |
Machine learning is everywhere. Neural networks are reading medical images & giving doctors advice. Voice assistants are trying to adapt to our natural speech. Ads, news, music, movies, books, & restaurants suggestions are learning our habits of engagement. In many countries, it's becoming more common to meet your long-term partner online & through an algorithm than in real life. From consumer to enterprise, machine learning is not just hype - it is already powering the products & services we use every day.As businesses continue to explore & invest in machine learning, they will need to be smart & conscientious about how they collect & use data to enhance their products or drive a bottom line. As a Product Manager, you may be interested in learning more about machine learning & you may already see opportunities to use it. In this talk, we will give context to key concepts in machine learning & introduce product-driven methods for building & iterating machine learning-based solutions.Main Takeaways:- Key concepts in machine learning- Common business applications of machine learning- Framework for building a recommendation engine- Guidelines for building an agile machine learning team
Meet the Speaker: Harsha Rao
Harsha Rao is a Product Manager that has kickstarted machine learning teams at two different companies. He currently works with a team at WeWork building their first recommendation engine to power a variety of internal & customer-facing experiences. Prior to this he worked as a Data Scientist at a market research firm before moving into Product Management at a financial technology start-up, where he worked with a team to build real-time fraud prevention for mobile banking apps.
View the Speaker's LinkedIn
--Please note:- Tickets sales at the door are from 6:00 - 6:30 PM (if any are still available)- No refunds unless we have fully canceled the event. Date changes are not included. - For additional info or questions, send an email to events@productschool.com- For last minute questions, send a text to: (646) 679-7377ProductSchool New York - REGWSP -->Workshop - DATAWSP -->
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