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With Ram Seshadri (Machine Learning Program Mgr, Google).
Thursday, October 17, 2019 at 06:00 PM   Absolutely Free
Metis Data Science, 27 E 28th St


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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.

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.

6:00-6:30pm Networking
6:30-7:30pm Talk
7:30- 8:00pm Betworking


About Metis

Metis ( 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.

On the corporate side, Metis works with large organizations who want to upskill their teams in data science & analytics to gain efficiencies, remain competitive, & improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education.


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