WiMLDS's mission is to support and promote women and gender minorities practicing, studying or interested in the fields of machine learning, data science and artificial intelligence. We create opportunities for our members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by prominent female or gender minorities scientists and engineers, technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender or technical background. WiMLDS has ~100 chapters worldwide with over 50,000 members. 2019 Q1 Report: https://reshamas.github.io/wimlds-2019-q1-report/ 2018 Annual Report: https://reshamas.github.io/wimlds-2018-annual-report/ Email: info@wimlds.org Twitter: @wimlds
View Top Employees from (WiMLDS) Women in Machine Learning & Data Science| Website | http://wimlds.org |
| Employees | 20 (11 on RocketReach) |
| Founded | 2013 |
| Industry | Education, Civic and Social Organizations, Colleges & Universities, Machine Learning, Artificial Intelligence, Data Science, Diversity, Gender Equity, Pay Equity, Data, Big Data, Python, R, Women In Tech, Women In Stem, Statistics, Analytics, Deep Learning, Inclusion, Computer Science, STEM |
| SIC | SIC Code 822 Companies, SIC Code 82 Companies |
| NAICS | NAICS Code 611 Companies, NAICS Code 61 Companies, NAICS Code 6113 Companies, NAICS Code 611310 Companies, NAICS Code 61131 Companies |
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(WiMLDS) Women in Machine Learning & Data Science Questions
Sarah Omoike is the Co-Founder and Co-Organizer Lagos Women in Machine Learning and Data Science of (WiMLDS) Women in Machine Learning & Data Science.
11 people are employed at (WiMLDS) Women in Machine Learning & Data Science.
(WiMLDS) Women in Machine Learning & Data Science is based in New York, New York.
The NAICS codes for (WiMLDS) Women in Machine Learning & Data Science are [611, 61, 6113, 611310, 61131].
The SIC codes for (WiMLDS) Women in Machine Learning & Data Science are [822, 82].
Top (WiMLDS) Women in Machine Learning & Data Science Employees
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ViewEsha Gupta
Core Team Member at (WiMLDS) Women in Machine Learning & Data Science
Delhi, Delhi, India1 -
ViewQian Wang
Research Associate and Data Scientist and Co-Organiser at (WiMLDS) Women in Machine Learning & Data Science
London, London, United Kingdom1
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