|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)|
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In this lesson, you will learn the fundamental principles of the Cloud, then you will see why it can be interesting for you to use Cloud services to run your data science projects and we'll look at some examples of data science projects run in the Cloud.
4. Which one is not necessarily a good reason for choosing the cloud?
1. Using Machine Learning and data intelligence services
2. Processing large amounts of data
3. TRUE : Storing sensitive/confidential governmental data
## [Pre-Lecture quiz]()
## 1. Introduction
### 1.1 What is Azure Machine Learning?
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> **_NOTE:_** Once you are done with the project, don't forget to delete all the resources.
## 🚀 Challenge
Look closely at the model explainations and details that AutoML generated for the top models. Try to understand why the best model is better than the other ones. What algorithms were compared? What are the differences between them? Why is the best one performing better in this case?
Look closely at the model explanations and details that AutoML generated for the top models. Try to understand why the best model is better than the other ones. What algorithms were compared? What are the differences between them? Why is the best one performing better in this case?