TL;DR

Introduction

AutoML Classification Challenges

Why Auto ML?

Six Levels of Car Autonomy

Six Levels of Auto ML

But is “Full ML Automation” Even Possible?

What Criteria Did We Use For Deciding the Levels?

Level 0: No Automation

Level 1: Use of High-level Algorithm APIs

Level 2: Automatic hyperparameter tuning and ensembling. Basic model selection.

Level 3: Automatic (technical) feature engineering and feature selection, technical data augmentation, GUI

Level 4: Automatic domain and problem specific feature engineering, data augmentation, and data integration

Level 5: Full ML Automation. Ability to come up with super-human ML solutions. Conversational interaction.

The Downsides to Auto ML

Machine Learning at Nvidia. Physicist. Writer. Data scientist. Catholic. Husband. Father. #technology #gadgets #datascience #bigdata #AI #MachineLearning

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store