Accessibility
Make machine learning and artificial intelligence more accessible, especially for those who are underrepresented in the field.
Support
Create an environment safe from judgment, hostility, and competition.
Education
Learn more about ML and AI ourselves as well as educate others, especially beginners, by providing helpful resources and role models in the field.
Interviews
Interviews with outstanding women in the field.
Resources
Andrew Ng Deep Learning Videos: Youtube.
Intro ML at MIT: MIT Open Course Ware.
Intro AI at MIT: MIT Open Course Ware and Youtube.
Deep Learning Monthlong Course: Youtube.
Technical videos from Mathematical Monk about ML: Youtube.
Learn linear algebra with 3blue1brown on Youtube.
Learn matrix methods with MIT’s Gil Strang.
Learn basic probability with Mr. Nystrom.
Learn advanced probability with Mathematical Monk.
Deep Learning by Goodfellow et al: free book available at deeplearningbook.org.
Practice data science problems on Kaggle.
Read ML-related articles on Distill.
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