Machine Learning is a new buzz in Computer Science Industry.

Every educational website is now launching the courses on machine learning but what is different in my blog?

Well, I am a student who likes to dig until he finds the root cause of the concept, so I research and learn the basics needed for a clear understanding of machine learning.

In every online and offline course I did in machine learning, I find that they just begin with theory and implementing Machine Learning libraries available in python. But, I was interested in how these algorithms were implemented, what are the fundamental concepts behinds such logical and powerful algorithms.

After doing so many courses, I realize that machine learning is a neat combination of fundamental mathematical concepts and in order to learn and excel in Machine Learning, we need to have a strong understanding of these mathematical concepts. So, I decided to put up all the basic mathematical concepts required to learn ML in my blog.

This Blog will cover Mathematical Concepts such as

- Linear Algebra
- Multivariate Calculus
- Statistics
- Probability

We will also discuss various python libraries and learn how to use them with these fundamental concepts.

The sole purpose of this blog is to share the knowledge and education on machine learning and artificial intelligence from scratch to an advanced level and to spread the beauty of mathematics in machine learning.

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