Data Science documentation in Microsoft Fabric

About Data Science

Overview

• What is Data Science?

Get started

Get Started

• Introduction to Data science tutorials
• Data science roles and permissions
• Machine learning models

Tutorials

Tutorial

• How to use end-to-end AI samples
• Retail recommendation
• Fraud detection
• Forecasting
• Discover relationships in a semantic model, using semantic link (preview)
• Analyze functional dependencies in a semantic model, using semantic link (preview)

Preparing Data

How-To Guide

• How to accelerate data prep with Data Wrangler
• How to read and write data with Pandas

Training Models

Overview

• Training Overview

How-To Guide

• Train with Spark MLlib
• Train models with Scikit-learn
• Train models with PyTorch

Tracking models and experiments

How-To Guide

• Machine learning experiments
• Fabric autologging

Using SynapseML

Get Started

• Your First SynapseML Model
• Install another version of SynapseML

How-To Guide

• Use OpenAI for big data with SynapseML
• Use Cognitive Services with SynapseML
• Deep learning with ONNX and SynapseML
• Perform multivariate anomaly detection with SynapseML
• Tune hyperperameters with SynapseML

Using R

Overview

• R overview

How-To Guide

• How to use SparkR
• How to use sparklyr
• R library management
• R visualization

Reference docs

Reference

• SemPy Python SDK

Using semantic link (preview)

Overview

• What is semantic link (preview)?

How-To Guide

• Read from Power BI and write data consumable by Power BI
• Detect, explore, and validate functional dependencies in your data
• Explore and validate relationships in semantic models