Gradient
A gradient represents the slope in a space. Earlier, we used partial differentiation with respect to 'x' to see how the slope changes along the x-axis on a three-dimensional graph while keeping 'y' constant. A gradient, however, invo…
Let’s first look at the concepts of scalar and vector. Scalars are quantities with only magnitude and no direction, like weight, exam scores, or height. Vectors, on the other hand, have both magnitude and direction, like magnetic force, velocity, …
A partial derivative is a type of differentiation. The function we looked at earlier had one variable (x). A partial derivative, on the other hand, applies when a function has two or more variables. For instance, if a function is f(x, y), where th…
A derivative finds the rate of change of a function at any given point. Before discussing the rate of change, let’s understand the concept of change rate. The rate of change represents the amount of change, including average change rates and insta…
There are countless ways to invest. Some dive into charts. Others chase headlines. A few follow their gut. But lately, a new way has emerged—one that feels almost too good to be true. It’s called Copy Trading . Think of it like this: You’re ne…
To program for reinforcement learning, you’ll need to install several programs. In data analysis, installing Anaconda provides most of the required programs by default, making it convenient. However, here we’ll go through the process of setting up t…
Neurons (nerve cells) are the cells that make up the nervous system. They send and receive electrical signals to communicate with other neurons, playing a key role in distributing and storing information. The human brain is composed of hundreds of b…