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EVENT DETAILS |
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ABSTRACT
Data Scientists today grapple with two problems: 1. Big Data 2. Bewildering Choice. Big Data enables data scientists to analyze more of what's available, but they can't visualize it or explain it so easily. In addition, there is a bewildering array of tools available which means substantial work with steep learning curves to master each one of them. The solution is automation: automate what's mundane so we can focus on the most important. Here I will describe what's available in terms of Open Source & Proprietary tools for automating Data Science tasks & introduce 2 new tools: one to visualize any sized data set with one click, another: to try multiple ML models & techniques with a single call. I will provide the Github Repos for both for free in the talk & workshop.
BIO
Ram Seshadri is a Data Scientist with deep experience in financial services & tech/media/telecom. Ram currently works as a Machine Learning Program Manager at Google & was formerly a Data Scientist at Morgan Stanley & an instructor at New York Institute of Finance.
SCHEDULE
6:00-6:30pm Networking
6:30-7:30pm Talk
7:30- 8:00pm Betworking
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About Metis
Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, & institutions through corporate training & accredited, immersive bootcamps.
The Metis bootcamp curriculum is designed & delivered by highly educated & industry-experienced practitioners, & all bootcamp graduates receive hands-on career support until theyre hired. Campuses are located in Chicago, New York City, San Francisco, & Seattle.
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