Hear from WiDS Trinidad & Tobago and WiDS San Jose Youth as they share career insights, mentorship advice, and strategies for breaking into AI and tech.
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This workshop covers dataset preprocessing, encoding categorical variables, handling NaN values, and preparing data for machine learning in Python. Instructors will also go over F1 score, which is the metric used to evaluate participants.
Datathon tutorial, dataset preprocessing, encoding categorical variables, handling NaN values, preparing data for machine learning in Python.
Keerthi Gopalakrishnan explores Multi-Armed Bandit and Contextual Bandit algorithms for optimizing online recommendations and balancing exploration with exploitation.
Watch this WiDS Workshop where data science professionals Jie Z. Nissel and Elizabeth Johnson share their journeys from STEM to data science.
In this talk, Rachita Naik shares her journey and experiences as a Machine Learning Engineer at Lyft, detailing the path that led her to pursue a career in the field.
