After we have acquired data through physical sensor devices, we obtain some data. The next question is, What do we do with this data? In this case, we should analyze the data to obtain insight. Machine learning, data science, and data mining are common terms related to data analytics.
Investing in machines to compute machine learning algorithms can be very expensive. One alternative solution is to implement machine learning— or data science-based cloud servers.
Several cloud providers provide data analytics services to manage large amounts of data. It covers various machine learning algorithms. Companies, for instance, Microsoft, Amazon, and Google, offer this service included IoT boards connectivity.
In this section, I will explain how to work with Microsoft Azure Machine Learning. To develop machine learning, Microsoft provides us with Azure ML Studio. You can read about it at https://studio.azureml.net/.
For our demo scenario, we use a common problem to classify...