Eitan Netzer - DataHeroes Python Library for Building Better ML Models, 10x Faster

Abstract: Big data requires significant time and resources to evaluate, label, clean and train to achieve a high quality model. Use the DataHeroes framework to reduce your dataset to a small subset that maintains the statistical properties and corner cases of your full dataset, then use standard libraries to explore, clean, label, train and tune your models on a smaller subset, and build a higher quality model, faster. About the speaker: Eitan is a cofounder and chief scientist at DataHeroes. Eitan has ten years of experience in machine learning and Data science in various projects and domains.