Get started with machine learning
Start building machine learning models with quickstarts and step-by-step solutions for common machine learning scenarios.
What is machine learning?
Machine learning (ML) is a technique that enables computer systems to learn and make predictions based on data. What problems can you solve with machine learning? What’s the difference between machine learning and deep learning? What languages, tools, and frameworks should you use, and where should you start? Watch this overview to find out.
Explore
Build machine learning models your way with tools that meet your needs across skill levels.
Zero-code automated machine learning
Build accurate models quickly using an automated UI.
Code-first notebook experience
Train and deploy models in Python using integrated Jupyter notebooks.
Get inspired
Explore step-by-step solutions for common machine learning scenarios.
Multi-class classification
Modeling earthquake damage: uncover areas of greatest damage to target rescue forces
Image recognition
Medical pill identification: reduce human error in the sorting and preparation of medication.
Time-series forecasting
Energy demand forecasting: predict the future load on the New York City energy grid.
Engage
Build something cool at our hackathon, or meet like-minded peers at a community event near you.
Online hackathon
Put your machine learning skills to the test and win prizes and recognition.
Learn moreCommunity events
Join the Global AI Night at one of over 80 venues around the world, and dive into machine learning with your peers.
Register nowAdditional resources
Explore GitHub
Get certified
Take the next step. Earn your data scientist certification with Microsoft Learn.
Stay current
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