Blogs

Location Parameters

Knowing the center point of your sample data can be very crucial in Statistics. We use the location measures to establish the center of the data, specifically mean, median and mode. Measures of location are mostly used to summarize data using just a single metric value. For example, given the height data of a million […]

Sampling and The Different Types Of Sampling

Going back to one of my examples from previous articles in this series, where we talked about calculating the average height of the human population. I mentioned we could sample data from different races, ethnic groups, continents, countries etc to get a well balanced representation of the larger human population. But, one question comes if […]

Levels Of Measurement Or Scales Of Measurement

In our last article, we explored the foundational distinction between descriptive and inferential statistics, two broad approaches to making sense of data. Building on that foundation, we now turn to another equally important concept: levels of measurement. When working with data, not all variables are created equal. Before diving into any statistical analysis, it’s essential […]

Descriptive Statistics And Inferential Statistics

Have you ever wondered how scientists make claims about millions of people by studying just a few thousand? Or how pollsters predict election results without asking every single voter? The answer lies in two powerful concepts: Descriptive and Inferential Statistics. Let me show you exactly how this works with a simple question: What’s the average […]

Understanding Tranformer LLMs From Scratch | Tokenizers

Over the past few years, Artificial Intelligence (AI) has exploded into the public spotlight. From chatbots that can hold conversations to tools that generate art, music, and even code, AI seems to be everywhere. Terms like “Large Language Models (LLMs)” and “generative AI” have become the new buzzwords of our time. But have you ever […]

A Python Developer’s First Data Analysis In R

Hello everyone, welcome back to another exciting article. In this article, we’ll do a simple data analysis project using R and R-studio. I have recently been looking into R and how it differs from Python when it comes to data analysis. I have learnt quite a lot about it. I have been exploring R-markdown and […]

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