Overview
Dive into the inner workings of Scikit-Learn with core contributor Thomas Fan in this 51-minute panel discussion from the ODSC West WarmUp Event. Explore the history and current developments of the popular machine learning library, including its upcoming 1.0 release. Gain insights into the technical aspects of Scikit-Learn, learn about open source sprints with Data Umbrella, and understand how coordination between Scikit-Learn and other open-source projects takes place. Discover Fan's journey, his favorite aspects of contributing, and the evolution of Scikit-Learn through major releases. Delve into topics such as One Class SVM, ML Pipelines, model adoption, and industry uses. Address important issues like open source regulations and bias in data sets. Get valuable information on how to contribute to open source and where to find help with Scikit-Learn.
Syllabus
Intro
Welcome
Why is ScikitLearn so popular
Thomas Fans journey
Other libraries Thomas uses
Goals of Scorch
What do you like most about contributing
How has ScikitLearn evolved
Major releases of ScikitLearn
Breakings in ScikitLearn
One Class SVM
Key Technical Aspects of ScikitLearn
Open Source Sprints
Data Umbrella
Contribute to Open Source
Coordination
Roadmap
Industry Uses
ML Pipelines
Model Adoption
Next Big Model
Open Source Regulations
Bias in Data Sets
How to get help
ODSC West
ODSC West 2021
Taught by
Open Data Science