Automatic Language Identification in Texts – Introduction

This note series is designed to provide the insides of using open-source language identifiers to predict the natural language of a given input text. We will cover the basics of natural language identification, various openly available packages, environment setup, and how to use the tools. Introduction In Natural Language Processing (NLP), language identification determines the …

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Essentials of Data Science – Probability and Statistical Inference – Expectation of Variables

In the previous note on discrete random variables, we have seen what a discrete random variable is and its distribution function. In the case of a discrete random variable, the distribution function is expressed in terms of probability mass function (PDF) and cumulative distribution function (CDF).  In this note, we will further extend the concept of the random variables and …

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LaTeX – Create tables using array environment

This note will teach us to how to create arrays, specifically when writing articles in an inline mode on microblogging sites. In simple words, it demonstrates how to create arrays in Latex when it is rendered on the Mathjax javascript framework. Important keywords used in array environment. The begin{array} command indicates the beginning of an array environment. …

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Python Design Patterns – OOPs

In the previous note on python design patterns, we have seen the need for design patterns in the software development life cycle, types of design patterns, characteristics of design patterns, and how design patterns are associated with object-oriented programming (OOPs) paradigms, and why, we can’t fully leverage the design patterns concept for software development when a programming …

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Python Design Patterns – Introduction

Design patterns are the well-known solution to recurring problems, and the software development community has widely accepted them. Now the question comes, why do we follow design patterns rather than designing our solutions. Introduction We know that software development started a long time back. Gradually, development processes have been improved to cater to various difficulties …

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Essentials of Data Science – Probability and Statistical Inference – Discrete Random Variables

In the previous note on continuous random variables, we have seen what a continuous random variable is and its distribution function. The distribution function is expressed in terms of probability density function (PDF) that helps us to compute the statistical parameters of continuous random variable. In this note, we will further extend the concept of the …

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Essentials of Data Science – Probability and Statistical Inference – Continuous Random Variables

In the previous note on random variables, we have seen what a random variable is, types of random variables based on the sample space, and the difference between discrete and continuous random variables. In this note, we will further extend the continuous random variables concept and explore how probability density function (PDF) and cumulative distribution function (CDF) …

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LaTeX – Align set of equations

This note will teach us how to write multiple equations, specifically when writing articles in an inline mode on microblogging sites. In simple words, it demonstrates how to align a set of multiline equations using LaTeX. Align a set of multiline equations in LaTeX: Example 1: Align square root solving equations In the below example, …

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