Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Hey everyone, welcome back to Waw Creator! In this video, I will show you how to make a diorama set in the Amazon rainforest, featuring a survival battle between a giant anaconda and a crocodile. As ...

Plasma proteomics reveals that the biological ages of key organs, especially the brain and immune system, strongly predict ...

Commodity correlation isn’t static—and ignoring that can blow up your portfolio. Learn how to track it and adjust your risk ...

The current state of tooling for Python-on-Wasm isn’t great, but we’ll walk you through a workaround. You’ll also learn how to set up Python on systems without Wi-Fi, discover the latest ...

Thanks to a mouse watching clips from “The Matrix,” scientists have created the largest functional map of a brain to date.

The endmember sharing-based abundance matrix learning module (AMLM) maps the changed information between bitemporal HSIs to the corresponding abundance matrices. The hierarchical MSchA extracts the ...

Calculating the Pearson correlation coefficient can be complicated but software makes it much easier. You can use several methods to calculate correlation in Excel.

By supporting both R and Python, two of the most widely used programming languages in data science, Julius AI allows you to easily upload your datasets, generate valuable insights, create ...

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

I was thinking of converting my correlation matrix to a distance matrix and use this as an input for the nearest neighbor algorithm. Do you think this is a sensible approach? If so, has anyone of you ...