There are many machine learning -as a service- platforms which are making the area more accessible as a whole.
You’ve acquired a dataset, picked an environment of choice; but wait! Which of these algorithms should you use?
In this blogpost we'll take a quick look at when we should use which type of algorithm, in layman's terms.
We could divide machine learning algorithms in two ways: by the dataset type and by the algorithm category.
Then how DO we choose the right algorithm for the job? You may use the diagram below featuring six questions on how to get around this problem.
Using these questions should help with choosing between the various types of algorithms out there. They include the most common scenario's when starting with machine learning but aren't fully exhaustive by any means.