December 2024
Intermediate to advanced
192 pages
5h 49m
English
We’re about to dive deep into the heart of the machine learning lifecycle: exploring data and training models. This chapter is designed to equip you with the skills and knowledge needed to handle data effectively and create optimized machine learning models using Azure Machine Learning.
Data exploration is the first step in any successful machine learning project. It’s where you’ll get to know your data, understand its characteristics, and prepare it for modeling. You’ll learn how to access and wrangle data using Azure’s data assets and datastores, making your data ready for the challenges ahead.
Model training is where the magic happens. You’ll discover how to create models using the Azure Machine Learning ...
Read now
Unlock full access