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Azure Applied AI and AutoML

Azure Applied AI and AutoML

This is the presentation I used for a session at Microsoft Turkey Startup Bootcamp where we discussed Azure Applied AI Services and the use of AutoML.

Daron Yondem

February 13, 2022
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  1. Azure Applied AI and AutoML
    Daron Yöndem
    Azure Application Development Lead for MEA
    Microsoft
    http://daron.me
    @daronyondem

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  2. Different flavors of AI/ML
    Control Productivity
    Machine
    Learning
    Supervised, Unsupervised,
    and reinforcement learning
    AutoML
    Automation for iterative tasks of ML
    AI
    Understand \ Interpret\ Learn\ and
    make decisions.
    Applied AI
    task-specific AI, and business
    logic as turnkey AI services.
    Azure ML Cognitive Services
    ML AI

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  3. What is Applied AI?
    AI models

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  4. What are Azure Applied AI Services?
    Extract actionable
    insights from your
    videos
    Proactively monitor
    metrics and diagnose
    issues
    Bring AI-powered cloud search
    to your mobile and web apps.
    Extract actionable
    insights from your
    videos
    Turn documents into
    usable data at a fraction of
    the time and cost
    Help users read and
    comprehend text

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  5. No Code Chatbot
    Demo

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  6. What is AutoML?
    • 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.

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  7. The Process
    SQL DB
    Cosmos DB
    Datawarehouse
    Data lake
    Blob storage

    Prepare Data Build & Train Deploy

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  8. Sample Problem
    How much is this car worth?

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  9. 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

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  10. The Complexity

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  11. 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

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

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  13. How to use AutoML in Azure?
    • Code: Azure Machine Learning Pyhton SDK
    • No-Code: Azure Machine Learning Studio

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  14. Different tasks
    • Classification: Fraud Detection, Marketing Prediction
    • Regression: Predict pricing
    • Time-series forecasting: Sales and Demand Forecasting

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  15. Data Scientist in a Box
    Demo

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  16. Thanks
    http://daron.me | @daronyondem
    Grab slides on http://decks.daron.me/

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