- DevOps
3V’s of Big Data
Volume, Variety & Velocity In the big data world, the data has a few properties if it is big data.…
Read More » - Artificial Intelligence
Types of Bias in Visualisation
Visualizations have an imperative for conveying exact information to an audience it does not know. It carries the critical part…
Read More » - Artificial Intelligence
Data Cleaning: A primary step towards a data science project
After gathering data for a project the next logical thing to do is to clean and audit the data. Data…
Read More » - Data Science / AI
Derivation of a Data Science Project
Every data science project is like a derivation of formula in mathematics. In a mathematical derivation, we start with the…
Read More » - Business Development
Important factors to be consider before Outsourcing Software Development
In Today’s digital world more businesses are becoming technology-driven. Most organizations have legacy systems and they want to upgrade with…
Read More » - Artificial Intelligence
Correlation & Causation
Correlation does not imply causation. If you are in the data science field, you might have heard the quote quite…
Read More » - Data Science / AI
Importance of Data Visualisation
Why is data visualization important or for that matter required? Data can be indecisive, the way in which we make…
Read More » - Artificial Intelligence
Types of Data in Data Analysis
Broadly data is categorized into three types namely Numerical – QuantitativeCategorical – NominalTime Series Numerical – Quantitative Data are numbers…
Read More » - Artificial Intelligence
Informed Choices in Data Science
This is a blog post I wrote for a private audience while I was learning about Big Data and Machine…
Read More » - Quality Engineering
“Functional” Testing – Pure Permutations Approach
Brief: In this article, we will dive into an essential technique to calculate the exhaustive functional test scenario set of…
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