# AI/ML, Data Science

## Train-Test split and Cross-validation: Visual Illustrations & Examples

Creating an optimal model that strikes a balance between underfitting and overfitting requires careful consideration. To assess how well our model performs on new, unseen data, we employ the train-test split technique and cross-validation. Train-Test Split: To evaluate a model’s performance, we split the dataset into a training set (approximately 70-90% of the data) and …

## Enhancing Accessibility and Inclusivity in Education with ChatGPT

Education is the cornerstone of progress, but for it to be truly impactful, it must be accessible and inclusive to all. In recent years, technology has played a pivotal role in transforming the educational landscape, making strides towards greater accessibility and inclusivity. Among these technological advancements stands ChatGPT, an AI-powered tool that not only serves …

## Ethical Considerations in AI-Powered Education

Did you know that ethical considerations in AI-powered education are becoming increasingly crucial? Or that ensuring data privacy is a top concern in the integration of AI tools in classrooms? It is important for educators to stay on top of ethical considerations in AI-powered education so they can foster responsible learning environments for their students. …

## Understanding Confidence Intervals with an Intuitive Example

Confidence intervals (CIs) are a fundamental concept in data science. In this informative guide, we’ll delve into the world of confidence intervals using an intuitive example to help you grasp this concept with confidence. The Bus Stop Scenario: Imagine yourself at a bus stop where the expected arrival time of the bus is usually 9:30 …

## Non-linear Relationships: When a 0 Pearson Correlation Coefficient Can Be Surprisingly Meaningful

The Pearson correlation coefficient (denoted as “r”) is widely used in statistics to measure the strength and direction of linear relationships between variables, ranging from -1 (perfect negative linear correlation) to +1 (perfect positive linear correlation). A Pearson correlation coefficient of 0 typically implies the absence of a linear relationship between variables. However, the term …

## Standard Deviation vs Standard Error: Clearing up the Confusion with Visual Examples

Standard deviation and standard error are two statistical measures that often get confused with each other. While both measures describe the variability in the data, they serve different purposes. Standard deviation measures the spread of the data. It calculates how far the individual data points deviate from the mean of the data set. A low …

## Generative AI and the abuse of social media

A new tactic appears to have arisen in the use of generative AI in social media. This tactic is comprised of rapidly generating seemingly knowledgeable responses to other people. One of the many challenges of this approach is that the generative AI is so lightweight in terms of understanding (It has none), that it mistakes …

## Mastering Central Limit Theorem (CLT) with Intuitive Examples

Let’s explore the Central Limit Theorem (CLT) with an example of rolling two dice multiple times (let’s say 30 times). We will calculate the mean of the two dice values and plot its distribution to understand the CLT intuitively. Round 1: We roll the dice and get 2 and 5. The sample mean of 2 …