I write about AI, Machine Learning, and Deep Learning in an easy-to-understand way.

— 11 Feb 2025

T-Test: Spotting Real Differences, Not Just Coincidences

A T-test is a powerful statistical tool used to determine whether the difference between the means of two groups is statistically significant or just random noise.

— 9 Feb 2025

Variance Explained: Making Sense of Data Variability

Variance explained tells us how much of the data’s spread is accounted for by a model. It helps in PCA, regression, and machine learning to understand patterns better!

— 9 Feb 2025

Understanding Sampling & Sampling Variability: A Practical Guide with NumPy & PyTorch

Sampling plays a crucial role in deep learning, from selecting training data to mini-batch gradient descent. But did you know that sampling variability can impact your model’s performance?

— 8 Feb 2025

Understanding Mean and Variance

Mean is the average value, showing the central trend, while variance measures how spread out the data is. Together, they help us understand patterns, consistency, and deviations in any dataset!

— 7 Feb 2025

Min, Max, Argmin & Argmax: Finding Extremes in Data

Min & Max give the smallest and largest values in a dataset, while Argmin & Argmax tell us their positions. Essential for optimization, data analysis, and machine learning!