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The ML Hero’s Secret Weapon: AutoML

The ML Hero’s Secret Weapon: AutoML

This is the AutoML presentation I used during GDG DevFest Turkey 2020.

Daron Yondem

October 17, 2020

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  1. 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.
  2. The Process SQL DB Cosmos DB Datawarehouse Data lake Blob

    storage … Prepare Data Build & Train Deploy
  3. 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 …
  4. 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