# Role of Mathematics in Machine Learning

I have heard this several times from amateur data scientists. This fallacy is too familiar and has created a fantasy among aspiring data science professionals. Let’s get this clear right now — you need to understand the mathematics behind machine learning algorithms to become a data scientist. It is an intrinsic part of the role of a data scientist and every recruiter and expert machine learning professional will verify for this.

“Is it necessary to understand the mathematics behind Machine Learning algorithms? There are widely available libraries available in Python which can be easily used to build models!”

I have heard this several times from amateur data scientists. This fallacy is too familiar and has created a fantasy among aspiring data science professionals.

Let’s get this clear right now — you need to understand the mathematics behind machine learning algorithms to become a data scientist. It is an intrinsic part of the role of a data scientist and every recruiter and expert machine learning professional will verify for this.

So, how should we learn this? Well, that is what I have discussed in this article. The various mathematical aspects you need to know to become a machine learning master, including linear algebra, probability, and more are pointed out in this article.

What level of Maths is required to expertise in Machine Learning?

The question that arises is what level of maths to expertise in Machine Learning. The answer to this question depends on the level and interest of the individual. Research in mathematical formulations and theories of Machine Learning is going on and some researchers are working on more advance techniques. The minimum level of each concept of mathematics needed to be a Machine Learning Engineer has been depicted in the pie chart.

## Difference Between the Mathematical Concepts Behind Machine Learning and Data Science

One of the most common questions is — what’s the difference between data science and machine learning and what’s the difference between the mathematics behind these two?

Although Data Science and Machine Learning share a lot of common ground, there are minute differences in their focus on mathematics. The below radar plot depicts the difference:

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## What is Supervised Machine Learning

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## Pros and Cons of Machine Learning Language

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