Median in Data Science and AI In the realm of data science and AI, understanding measures of central tendency is crucial. In this post, we will explore the concept of median. What is Median? Median is a key measure of central tendency that divides a dataset into two equal halves. It represents the middle value […]
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Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution In this post from PostNetwork Academy’s Data Science and A.I. Lecture Series, Bindeshwar Singh Kushwaha walks us through the process of calculating the variance of a discrete frequency distribution. This is an essential statistical measure for understanding the spread of data
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How to Calculate Variance for a Given Distribution Introduction: In this post, we will explore the step-by-step process of calculating the variance and standard deviation for a given frequency distribution. Understanding these concepts is crucial for analyzing data variability and distribution spread. Example: Given the following frequency distribution, we will calculate both the variance and
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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
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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
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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 \( \bar{x} \)
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
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Understanding Variance: A Practical Example In our recent Data Science and AI lecture, we explored the concept of variance—a crucial measure in statistics that indicates how spread out a set of data points is around their mean. Today, we’ll dive into a practical example involving a batsman’s scores over ten matches. The Problem Let’s consider
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