In this chapter, we have learned what machine learning is and some of its basic concepts. Then we looked at the various ML options on offer from platform providers, as well as possible open source solutions.
We then tried to implement a machine learning model using Azure Machine Learning Studio, and saw how we can predict the probability of rain if we pass in the temperature and humidity. We concluded the chapter by building a web service and exposing the model so anyone can get predictions based on the model we just created.
In the next chapter, we are going to look at the various IoT use cases that can leverage what we have learned so far and add value to their systems.
