Practical Machine Learning Problems

Last Updated on January 20, 2018

What is Machine Learning? We can read authoritative definitions of machine learning, but really, machine learning is defined by the problem being solved. Therefore the best way to understand machine learning is to look at some example problems.

In this post we will first look at some well known and understood examples of machine learning problems in the real world. We will then look at a taxonomy (naming system) for standard machine learning problems and learn how to identify a problem as one of these standard cases. This is valuable, because knowing the type of problem we are facing allows us to think about the data we need and the types of algorithms to try.

10 Examples of Machine Learning Problems

Machine Learning problems are abound. They make up core or difficult parts of the software you use on the web or on your desktop everyday. Think of the “do you want to follow” suggestions on twitter and the speech understanding in Apple’s Siri.

Below are 10 examples of machine learning that really ground what
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