A Type System for Feature Engineering in Machine Learning
Offered By: ACM SIGPLAN via YouTube
Course Description
Overview
Explore a 22-minute conference talk from ACM SIGPLAN's TyDe'23 that delves into the application of Martin-Löf's type theory in feature engineering. Learn how Weixi Ma, Serena Chan, and Fei Yu demonstrate the dependent type system of F3 (Facebook Feature Framework) and its practical applications in daily feature engineering. Gain insights into how a compiler for feature engineering can benefit from type theory implementation techniques, and understand the process of formalizing domain knowledge into data operations for converting raw data into proper machine learning model inputs.
Syllabus
[TyDe'23] A Type System For Feature Engineering (Extended Abstract)
Taught by
ACM SIGPLAN
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Data Mining Project
University of Illinois at Urbana-Champaign via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法
Tsinghua University via edX