# Zonish

### Higher-Order Derivatives

Higher-order derivatives can capture information about a function that first-order derivatives on their own cannot capture.  First-order derivatives can capture important information, such as the

### A Gentle Introduction To Gradient Descent Procedure

Gradient descent procedure is a method that holds paramount importance in machine learning. It is often used for minimizing error functions in classification and regression

### A Gentle Introduction To Partial Derivatives and Gradient Vectors

Partial derivatives and gradient vectors are used very often in machine learning algorithms for finding the minimum or maximum of a function. Gradient vectors are

### A Gentle Introduction To Vector Valued Functions

Vector valued functions are often encountered in machine learning, computer graphics and computer vision algorithms. They are particularly useful for defining the parametric equations of

### Differential and Integral Calculus – Differentiate with Respect to Anything

Integral calculus was one of the greatest discoveries of Newton and Leibniz. Their work independently led to the proof, and recognition of the importance of

### A Gentle Introduction to Multivariate Calculus

It is often desirable to study functions that depend on many variables.  Multivariate calculus provides us with the tools to do so by extending the

### Applications of Derivatives

The derivative defines the rate at which one variable changes with respect to another.  It is an important concept that comes in extremely useful in

### A Gentle Introduction to Continuous Functions

Many areas of calculus require an understanding of continuous functions. The characteristics of continuous functions, and the study of points of discontinuity are of great