Visual Feature Engineering for Machine Learning with React
React Conferences by GitNation via YouTube
Overview
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Explore visual feature engineering for machine learning using React in this 28-minute conference talk from React Advanced 2019. Discover how Tensorflow.js enables building, training, and using ML models directly in the browser, and learn how React can enhance the feature engineering process. Dive into a practical example of predicting soccer match results from FIFA World Cups, visualizing features, model layers, and weights in real-time during model training. Gain insights on selecting optimal features, including match win/loss counts, competitor-specific statistics, goal differences, and tournament stages. See how React-based model visualization helps identify effective features and those that can be eliminated. Validate the model using results from the 2018 World Cup in Russia.
Syllabus
Visual Feature Engineering for Machine Learning with React - Olga Petrova
Taught by
React Conferences by GitNation