Mathematics behind Machine Learning – The Concepts you Need to Know

We can easily use the widely available libraries available in Python and R to build models!" I have lost count of the number of times I've heard this from amateur data scientists. This fallacy is all too common and has created a false expectation among aspiring data science professionals. Let's get this out of the way right now – you need to understand the mathematics behind machine learning algorithms to become a data scientist. There is no way around it. It is an intrinsic part of a data scientist's role and every recruiter and experienced machine learning professional will vouch for this.