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Women in Tech: how to start a career in Machine Learning? - Panel Discussion

Mon, 22 Feb 2021 19:00 - 20:00 JST
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Description

In building Data Science & Machine Learning teams, achieving a diversity of approaches and experiences is not just desirable — it is critical. Yet in Japan, as few as 13% of data scientists today are women.

This panel talk brings together four women working in Machine Learning in Japan to discuss what drove their decision to pursue a career related to data science, to understand differences across approaches to learn it, and to examine what can be done to encourage more women into the field.

Whether you work in Machine Learning or another Data Science field, or just considering moving into the industry, feel free to join and network with like-minded people during & after the event!

Speakers 👩

  • Enxhi Kreshpa, Machine Learning Engineer at FUJITSU Laboratories Ltd
  • Yueying Teng, Machine Learning Engineer at SMFL
  • Farzana Eva, Deep Learning Engineer at Hitachi Research Laboratory
  • Mao Parr, CEO of AI startup datagusto

🚀About Le Wagon Tokyo 🚀

Le Wagon Tokyo (https://www.lewagon.com/tokyo) is the world's most acclaimed coding school for startups, creative people and tech entrepreneurs. Our Web Development and Data Science bootcamps are designed for individuals who want to change their career, become freelancer, or launch their own venture!

The next full-time Web Development batch will start on Apr 12th and applications are open: https://www.lewagon.com/tokyo

You can also join part-time Web Development batch from Mar 20th! (https://www.lewagon.com/tokyo/web-development-course/part-time)

Our first part-time Data Science bootcamp will start on Feb 20th and applications are open 👉 https://www.lewagon.com/tokyo/data-science-course/part-time

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Le Wagon Tokyo - Coding Bootcamp

Le Wagon Tokyo - Coding Bootcamp

Le Wagon is a coding school for startups, creative people and tech entrepreneurs. Our 9-week Full-Stack Coding Bootcamp is designed for complete beginners or "half-beginners" who really want to ...

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