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

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

Azure AI

What is Applied AI? AI models

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

No Code Chatbot Demo

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.

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

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

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

Data Scientist in a Box Demo

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