The ML Hero’s Secret Weapon: AutoML Daron Yöndem http://daron.me @daronyondem

What is it? • Automated Machine Learning (AutoML) is the process of automating end-to-end process of applying Machine Learning (ML) to create, develop and deploy predictive models so that any enterprise benefits from data. • Low-code / No-Code Experience • Keeps searching for the algorithm and hypermeters based on the metrics you define.

The Process SQL DB Cosmos DB Datawarehouse Data lake Blob storage … Prepare Data Build & Train Deploy

Sample Problem How much is this car worth?

Model creation takes time… a lot o time… Which algorithm? Which parameters? Which features? Mileage Condition Car brand Year of make Regulations … Gradient Boosted Nearest Neighbors SVM Bayesian Regression LGBM … Nearest Neighbors 50% Model Iterate 30% Gradient Boosted Mileage Car brand Year of make Car brand Year of make Condition Parameter 1 Parameter 2 Parameter 3 Parameter 4 …

The Complexity

Model Selection & Hyperparameter Tuning Dataset Training Algorithm 1 Hyperparameter Values – config 1 Model 1 Hyperparameter Values – config 2 Model 2 Hyperparameter Values – config 3 Model 3 Model Training Infrastructure Training Algorithm 2 Hyperparameter Values – config 4 Model 4 Repetitive & Manual

Introducing Automated Machine Learning Dataset Optimization Metric Constraints (Time/Cost) ML Model Automated ML Accessible & Faster

Data Scientist in a Box Demo

Thanks http://daron.me | @daronyondem Download slides here; http://daron.me/decks