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Alison Cossette (@alison_cossette): Discusses her journey to Data Science

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Manage episode 181593432 series 1466098
Content provided by Data Podcast, Rajib Bahar, and Shabnam Khan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Podcast, Rajib Bahar, and Shabnam Khan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Officially, Alison Cossette is a data analyst for the University of Vermont Medical Center. Unofficially, she says proudly, "I'm the resident data nerd." Interviewer: Rajib Bahar, Shabnam Khan Agenda: - In Twitter, your motto is "Numbers are the best story tellers", why do you say that? - Terms such as Linear Regression, Logistics regression may sound scary... is it? How did you implement them when you faced prediction challenge like that? - What do you appreciate between R & python languages (if you know only one, then talk about that one only)? - AI field keeps evolving... how do you define, AI, Machine Learning, Deep Learning, Reinforced Learning? - How do you build network in the DataScience community online or offline? - Any social media presence in Twitter, LinkedIn? Music: www.freesfx.co.uk
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29 episodes

Artwork
iconShare
 
Manage episode 181593432 series 1466098
Content provided by Data Podcast, Rajib Bahar, and Shabnam Khan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Podcast, Rajib Bahar, and Shabnam Khan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Officially, Alison Cossette is a data analyst for the University of Vermont Medical Center. Unofficially, she says proudly, "I'm the resident data nerd." Interviewer: Rajib Bahar, Shabnam Khan Agenda: - In Twitter, your motto is "Numbers are the best story tellers", why do you say that? - Terms such as Linear Regression, Logistics regression may sound scary... is it? How did you implement them when you faced prediction challenge like that? - What do you appreciate between R & python languages (if you know only one, then talk about that one only)? - AI field keeps evolving... how do you define, AI, Machine Learning, Deep Learning, Reinforced Learning? - How do you build network in the DataScience community online or offline? - Any social media presence in Twitter, LinkedIn? Music: www.freesfx.co.uk
  continue reading

29 episodes

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