AutoDS: Towards Human-Centered Automation of Data Science

no code implementations • 13 Jan 2021 • Dakuo Wang, Josh Andres, Justin Weisz, Erick Oduor, Casey Dugan

Only till recently, machine learning(ML) researchers have developed promising automation techniques to aid data workers in these tasks.

AutoML BIG-bench Machine Learning

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates

no code implementations • 13 Dec 2019 • Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael Muller, Josh Andres, Alexander Gray, Dakuo Wang

Artificial Intelligence (AI) can now automate the algorithm selection, feature engineering, and hyperparameter tuning steps in a machine learning workflow.

AutoML Feature Engineering

Towards a Predictive Patent Analytics and Evaluation Platform

no code implementations • 31 Oct 2019 • Nebula Alam, Khoi-Nguyen Tran, Sue Ann Chen, John Wagner, Josh Andres, Mukesh Mohania

The importance of patents is well recognised across many regions of the world.

BIG-bench Machine Learning