Tag: Women

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Data Science

THE IMPORTANCE OF WOMEN IN DATA SCIENCE

Source – https://www.analyticsinsight.net/ Women have carved a niche for themselves in almost every field one could possibly think of. Business, finance, marketing, IT, law – you name it and you’ll find women doing a great job without any difficulty. However, data science is that one field that’s still a little unexplored by women. And considering Read More

Data Science

Women in Data Science Conference – 3/11

Source – https://www.hsph.harvard.edu/ For the fifth year in a row, Harvard, MIT, Microsoft Research New England, and now the Broad Institute, are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts. This virtual, one-day technical conference will feature an all-female lineup of speakers from academia and industry, to Read More

Data Science

Women in Data Science Initiative Holds Global Conference to Celebrate International Women’s Day

Source – https://msmagazine.com/ In celebration of International Women’s Day, women data scientists from around the world will gather together virtually on March 7 and 8, 2021, for presentations, workshops and networking at the Women in Data Science (WiDS) Worldwide Conference. The event offers women in data science, a chance to recognize their social, economic, cultural and Read More

Data Science

Women in Data Science to Host March 8 Virtual Regional Event at Livermore

Source – https://insidehpc.com/ Women in Data Science (WiDS) will host its fourth WiDS Livermore regional event “to encourage our community of women in computing.” Attendees will watch WiDS Stanford Livestream as well as feature Lab-focused technical talks, mentoring breakout sessions and a career panel.  The program for this one-day virtual technical conference is an opportunity to hear about the latest data Read More

Big Data

Forbes: Why Big Data Is Failing Women In STEM And How To Fix It

Source – https://alltogether.swe.org/ Walmart can tell you how many of anything are in a given store or warehouse at any moment. Apps track your heartrate and your phone tracks your location at any moment. C-suite executives monitor everything in their organizations daily. Big Data dominates our economy. Yet, we don’t have consistent, standardized and real-time Read More

Data Mining

ZestMoney sees huge spike in Edtech loans, women applicants during lockdown

Source: ibsintelligence.com Indian FinTech ZestMoney, an AI-driven EMI financing platform, has witnessed some interesting trends during the three-month lockdown triggered by the COVID19 pandemic. The Bengaluru-based company said that it has seen a spike in Education loans on its platform. Founded by Lizzie Chapman, Priya Sharma and Ashish Anantharaman in 2015, ZestMoney is one of Read More

Data Science

Diversity in hiring process helps Microsoft fuel opportunity for women data scientists

Source: siliconangle.com It’s no secret that the representation of women in the technology workforce is lower than it should be. For predictive analytics professionals, a Burch Works study showed that women comprised 26% of the workforce in 2019, an increase over the previous year of only 2%. Microsoft Corp. is taking its own steps to change that. Through active participation Read More

Data Science

APPLICATIONS OPEN FOR ACCENTURE’S WOMEN IN DATA SCIENCE ACCELERATOR PROGRAMME

Source: irishtechnews.ie Accenture has announced the return of its award-winning Women in Data Science Accelerator for the second year. The six-week evening programme is free to attend and combines industry-led lectures, hands-on workshops and career guidance to help women become successful leaders in data science. The aim of this programme is to build and develop Read More

Deep Learning

Deep Learning Predicts Women’s Future Risk of Breast Cancer

Source:- healthitanalytics.com June 12, 2019 – Using deep learning technology, researchers from Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital (MGH) were able to predict women’s future risk of breast cancer development more accurately than when they used traditional methods, according to a study published in Radiology. Current models use factors like genetics and family history to predict risk, but Read More