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SeaWiDS

@WiDSSea

#SeaWiDS is bringing women in #datascience together!

 Seattle
Joined February 2018
  • Tweets38
  • Following17
  • Followers46
17Media
Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)Photo by SeaWiDS (@WiDSSea)
SeaWiDS retweeted
Manaz K (@k_mahnaz) profile picture
Manaz K@k_mahnaz7 Mar 2019
Join #SAPConcur and #SeaWiDS for a half day #DataScience #Conference at Bellevue on March 26th. A great opportunity to learn, network, and connect. # eventbrite.com/e/wids-puget-…

WiDS Puget Sound

Women in Data Science Puget Sound

eventbrite.com
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Google's interview system is not great but there are various reasons why it feels less than it is. Most candidates don't know what the goal of our interviews are. First rule, it is not about finding an optimal solution or any solution at all.
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Seattle data science community: @WidsSea is looking for mentors! Sign up here to join a growing community + meet amazing people 🚀 docs.google.com/forms/d/1Pl8…
Data Circles( Seattle Women in Data Science) - Call For Speaker

Data Circles( Seattle Women in Data Science) - Call For Speaker

Please fill out this form if you are interested in collaborating at our future meetups. Each lightening talk will be ~10 to 20 minutes. And a main talk will be 30-60 mins. We will update the event...

docs.google.com
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Hands-On Programming with R is now available for free online, rstudio-education.github.io/…! Please help me spread the word. Thank you O'Reilly for the CC! #rstats #bookdown @rstudio @dataandme
Image from Garrett Grolemund (@StatGarrett)
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Replying to @ualbany
Check out the Insight Data Science program - a free 7 week fellowship that transitions PhDs to data driven industry careers. @InsightDataSci
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Introducing the MLCC Fairness in #MachineLearning module (g.co/mledu/fairness), which looks at different types of human biases that can manifest in training data, and provides strategies to identify them and evaluate their effects. Learn more at: g.co/mledu/fairness-blog

Fairness  |  Machine Learning  |  Google for Developers

This course module teaches key principles of ML Fairness, including types of human bias that can manifest in ML models, identifying and mitigating these biases, and evaluating for these biases using...

developers.google.com
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Hello from Cambridge! We've just shared MLCC, a Machine Learning crash course we've taught internally for about a year. Check it out, hope it helps! g.co/machinelearningcrashcou…
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SeaWiDS retweeted
Manaz K (@k_mahnaz) profile picture
Manaz K@k_mahnaz1 Mar 2018
Replying to @WiDSSea
@WidsSea you can follow #WiDS2018 live. nitter.gq/WiDS_Conference/status…
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SeaWiDS retweeted
Manaz K (@k_mahnaz) profile picture
Manaz K@k_mahnaz20 Feb 2018
#Indeed in #Seattle is hosting #womenintech #womeninScience in #DataScience , #WiDS , @WiDSSea on March 12th. #ABtesting is the theme. RSVP! Save your spot here: goo.gl/oUd3B8 @rctatman @margaretmz @SEA_TechEvents @ps_python #ML
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