Navigating Into the World of Machine Learning

With the rapid expansion of Machine Learning as a field of research, it’s not easy to keep up with everything that is being invented and discovered.

I have created a graph that will make the distinction of the types of machine learning systems easier to understand.

It is useful to keep in mind there’s more than one way (ML algorithm) to solve a specific problem. Usually, there are several that fit and it’s your duty to identify which is the best algorithm with the given circumstances of its implementation.

Nowadays, everything is being solved with neural networks; why use a sword to cut bread, when a knife would be sufficient?

The ML landscape looked from above, has mainly four different directions:

In the following weeks, I will delve into each topic and discuss its nuts and bolts.

Sum up

Hope this article helped you get a clearer idea how the ML landscape is generally separated.

Did I miss any types of learning? Let me know in the comments below.

I’d love to hear your ideas on what you’d like to read next — let me know down below in the comment section!

You can always connect with me via LinkedIn.