Chapter 10, Azure and Excel - Machine Learning in the Cloud

1. Cost, speed, global scale, productivity, performance, and security.
2. Cloud computing is useful for many different applications and, in fact, can replace everything that was built on-premise, from databases to visualizations.
3. Web services are applications hosted on the internet, which can communicate with other applications through predefined protocols and data formats. The advantage of using web services is that they are easy to share and are independent from the operating system and programming language used.
4. Azure Machine Learning Studio needs the input data format, and this is taken from the input data module.
5. The training flow is used to train the model and then save it. The same model is then used in a separate flow for prediction, without the need to retrain the model every time it is used.

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