Author: Yash Prakash

In this article we will talk about two parts of Mathematics which are used in Machine Learning. 1) Coordinate Geometry and 2) Calculus. But before discussing that, Let us start from a very basic question. What we try to do when we build a model. We try to predict something, right? Once our model predicts […]

I hope the last article was easy enough and well explained on differentiation. If any problemor unclear though anyone have please let me know. Let us start with the partial derivative. If a function f(x) has multiple variables in it like f(x,y,z,w,p) = 5xy+z+wp, then we definepartial derivatives (derivatives and differentiation are one and the […]

Probability Theory NOTE: This blog contains very basic concepts of probability Probability is used in many parts of Machine Learning. Hence, it is very important to understand this topic very carefully. There are different terms that should be understood before understanding the concept of probability. Let us discuss these terms: 1) Random Experiment : let […]