Articles by Sidharth Macherla

How to generate data from a model – Part 2

January 20, 2023 | Sidharth Macherla

Summary Traditionally, data scientists have built models based on data. This article details how to do the exact opposite i.e. generate data based on a model. This article is second in the series of articles on building data from model.  You can find part 1 here Broadly speaking, there are ... [Read more...]

How to generate data from a model – Part 1

August 17, 2022 | Sidharth Macherla

Summary Traditionally, data scientists have built models based on data. This article details how to do the exact opposite i.e. generate data based on a model. This article is first in the series of articles on building data from model.  Motivation & Practical Applications Businesses across various industry domains are ... [Read more...]

Generate names using posterior probabilities

March 17, 2020 | Sidharth Macherla

If you are building synthetic data and need to generate people names, this article will be a helpful guide. This article is part of a series of articles regarding the R package conjurer. You can find the first part of this series here. Steps to generate people names 1. Installation Install ... [Read more...]

Generate synthetic data using R

January 22, 2020 | Sidharth Macherla

If you are building data science applications and need some data to demonstrate the prototype to a potential client, you will most likely need synthetic data. In this article, we discuss the steps to generating synthetic data using the R package ‘conjurer’.  Steps to build synthetic data 1. Installation Install conjurer ...
[Read more...]

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