WHICH SOURCE I AM USING

Mathematics is essential for machine learning without it you won’t be able to do much. For learning Math I will be using MIT OCW. MIT offers very decent lectures with great problems which come with practice problems to enhance your skills. I will be using the notes provided along with the lectures on the MIT OCW website and the book they have mentioned with each course. Along with all of these things I will also be using anything I need to get things done.

WHY TO LEARN MATHS?

Math is the soul of machine learning. It is the language with which you will talk to the algorithms you will be designing. A solid background in Mathematics will enhance the skill to understand what you are working on. In machine learning, there are things like algorithms and neural networks and many other things (I am not aware of them at this moment). All of this requires Maths and for that reason, we need to learn Maths.

WHICH COURSES I AM TAKING

I am not aware of how the whole trajectory is going to look but I have some idea of where to start. Here are some of the courses which I am taking at this moment -

• SINGLE VARIABLE CALCULUS

• MULTIVARIABLE CALCULUS

• DIFFERENTIAL EQUATIONS

• Stanford University course on MATHEMATICAL THINKING

I am not going to take the above courses in the order they are presented.

HOW I WILL WRITE HERE?

I will be writing here about what I learnt from the lessons which I took during the whole week. We will be discussing about some interesting ideas, not the whole lecture. I hope this will help the people who are trying to do the same in future and also me, who is doing this at the current moment.

FINAL WORDS

Okay, so the article comes to an end. But I want to say that do not underestimate your capacity to learn new things and if you think that you are not capable to learn this stuff then I would say that you are wrong!