What we're about

WiMLDS's mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background. However, in support of our mission, priority for certain events and opportunities will be given to women and gender minority members.

Our Code of Conduct ( https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ) is available online and applies to all our spaces, both online and off.

• Follow @wimlds ( https://twitter.com/wimlds ) on Twitter for general WiMLDS news or visit http://wimlds.org ( http://wimlds.org/ ) to learn about our chapters in other cities.

• Women & gender minorities are invited to join the global WiMLDS Slack group by sending an email to slack@wimlds.org.

Upcoming events (1)

Kickoff meeting

MotionLab.Berlin

Welcome to the first meeting of Women in Machine Learning and Data Science (WiMLDS) in Berlin! WiMLDS meetups aim to inspire, educate, regardless of gender, and support women and gender minorities in the field. All genders may attend our meetup. Agenda: 18:30 arrival and network 19:00 introduction to WiMLDS activities 19:30 “My Journey into Data Science” CJ Jenkins 20:00 open mic for women to share experiences and initiatives 20:30 lightning talks! Bring a 5 minute topic in ML or DS domain to share with the group. Our speaker, CJ Jenkins, is a data scientist at N26, a leading mobile only bank based in Berlin with over 1 million customers. Her current focus is using machine learning and artificial intelligence to enhance customer experience, helping N26 on its journey to becoming the smart bank which customers love to use. Prior to N26, CJ spent 12 years working as an academic, researching the evolutionary processes that drive parasites to adapt to organisms. Her experiences in academia lend a fresh perspective when considering how machine learning can be utilized in banking. If you’d like to do a lightning talk, please get in touch with us [masked] we also offer support for first time speakers. Also let us know if you’d be interested in hosting us or giving a talk/workshop in the future.

Past events (1)

Kick-off Organisers Meeting

Coffee Fellows

Photos (1)