Understanding Variance in Data Science and AI In today’s post from Post Network Academy, we will  dive into an essential concept in statistics: the variance of discrete frequency distributions. Variance plays a crucial role in data science, AI, and analytics, so let’s break down what we learned.  What is Variance? – Variance measures how far

Simple LED Blinking with Arduino In this post, we’ll explore a basic Arduino sketch that demonstrates how to control multiple LEDs using digital pins. This example will help you get started with pin control and timing using the Arduino Wokwi platform.   Circuit Setup: 1. Connect the anode (long leg) of each LED to pins

Summary of Video on Variance of Discrete Frequency Distribution Presenter: Bindeshwar from Post Network Academy Key Points: 1. Definition of Variance: Variance measures the dispersion of data points in a distribution. For discrete frequency distributions, the formula incorporates frequency (fi). Formula: \[ \text{Variance} = \frac{1}{n} \sum_{i=1}^{n} f_i (x_i – \bar{x})^2 \] Where \( \bar{x} \)

Bots, cawlers or web spiders are automated programs that download web pages and extract information. Generally, web crawlers are used to index web pages for efficient search, to index web pages they index URLs of web pages. The well known application of  web crawling  is search engines. Further, web crawlers have different components, such as, 

Data Science and AI :: Weighted Mean   Introduction Hi everyone, I am Bindeshwar  from Post Network Academy. In the last video, I explained the concept of mean and its properties. Today, we’ll dive into the topic of the weighted mean. What is Weighted Mean? As the name suggests, the weighted mean assigns different weights