Greetings, humanists, social and data scientists! Have you ever tried to load a large file in Python or R? Sometimes, when we have file sizes in the order of gigabytes, you may experience problems of performance with your program taking an unusual...

Subsampling continuous and discrete response variables in nnetsauce version 0.16.3

Imagine you are working on a dashboard, and you want to add this new type of visualization you saw in one of the blogs you follow, or perhaps your users showed you a visualization they liked and asked you to implement something similar. You roll up your sleeves and start ...

Virtual reality (VR) and augmented reality (AR) have come a long way in recent years, revolutionizing how people interact with digital environments. One of the most exciting developments in this field is the emergence of Neural radiance fields (NeRF). In this article, you will learn about NeRF and how it ...

Ahh, the dark art of hyperparameter tuning. It’s a key step in the machine learning workflow, and it’s an activity that can easily be overlooked or be overkill. Therefore, dear reader, it is an art that requires the application of both skill and w...

The journey began on Twitter, or X, as it is now called. You saw an interesting tweet and after what may have been a few kilometers of scrolling, you serendipitously—or so you think—stumbled upon a YouTube link. This led to a few hours of uninterrupted immersion in a ...

Diffusion models in Python with esgtoolkit (Part2).

Interesting articles from the week that was: Python 3.12 on AWS Lambda Python 3.12.1 Best Novels Visualised and Space Typography.

What: This article explores the details of Tree-based models. It provides a detailed explanation of its types, pros and cons, and their use and implementation. Why: This article is a must-read for a beginner trying to understand tree-based models or a  proficient learner looking to master its applications in machine ...