Unfolding the universe of possibilities..

Navigating the waves of the web ocean

Do not over-think about ‘outliers’, use a student-t distribution instead

A Bayesian approach using R and Brms For many researchers, outliers are rogue waves that can dramatically alter the course of the analysis or “confound” some expected effects. I prefer to use the term “extreme observations” and leave the term outlier

Causal Machine Learning: What Can We Accomplish with a Single Theorem?

Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning Continue reading on Towards Data Science »

The Many Pillars of Getting the Most Value From Your Organization’s Data

Photo by Choong Deng Xiang on Unsplash A Story of a Data Scientist Let me introduce you to Sarah, a talented and passionate data scientist, who just landed her dream job at GreenEnv, a large company that makes eco-friendly cleaning products. GreenEnv has tons of

Mastering the Versatility and Depth of Python’s Rich Plot Collection(with Code)

From Sankey diagrams and spider plots to ridge plots, this article spans various visualizations, each with its unique use case and insight. Continue reading on Towards Data Science »

Marlin: Nearly Ideal Inference Speed for 4-bit Large Language Models

Up to 4x faster than inference with fp16 parameters Continue reading on Towards Data Science »

Transformers: How Do They Transform Your Data?

Diving into the Transformers architecture and what makes them unbeatable at language tasks Image by the author In the rapidly evolving landscape of artificial intelligence and machine learning, one innovation stands out for its profound impact on how we process, understand, and

Hands On Monotonic Time Series Forecasting with XGBoost, using Python

This is how to use XGBoost in a forecasting scenario, from theory to practice Continue reading on Towards Data Science »