Best path to master Machine Learning or Data Science

Over the last few years, I have seen many people falling in love with machine learning. Most of them dive straight into ML techniques and end up with a broken heart or much worse, destroying their career.

Let’s face it.

“Machine learning is hard if you really want to understand what is going on underneath the Python library you just imported.”

Even if you learn to use every Python library out there, chances are you won’t be able to model any new problem that you have not seen before.

In this article, I will describe the best path to master machine learning or data science that will convert you into a rock star ML Engineer or Data Scientist.

The correct path

The correct path to master Machine learning involves building a strong mathematical foundation that will allow you to really understand the working of every algorithm and model that you will study.

Instead of writing it down. I have converted the whole thing into an image that is easy to understand and that you can save for later reference.

In the next article, I will tell about resources (books, video tutorials, etc) for each step and how much time you should spend on learning each set of topics.