How to rotate a vector in R² A rotation matrix is like a magical tool in the world of linear algebra, designed to spin vectors around in space with precision and ease. Imagine you have a vector, a little arrow pointing somewhere in space, and you want to- 28447Murphy2025-03-23
Subfigures - a powerful tool for beautiful multi-panel figures.- 25872Murphy2025-03-23
Leveraging LangChain to move from ad-hoc Jupyter Notebooks to production modular service- 25771Murphy2025-03-23
A comprehensive guide to data preparation and visualization- 25565Murphy2025-03-23
Are we analyzing data, or engineering reality?- 23681Murphy2025-03-23
A beginner-friendly introduction to MLOps- 20357Murphy2025-03-23
Generative AI is receiving a lot of attention these days. ChatGPT reportedly has hundreds of millions of users and similar functionality is allegedly being built into a multitude of digital products ranging from Microsoft Word and Teams to search engines.- 24127Murphy2025-03-23
How Human Labor Enables Machine Learning We don’t talk enough about how much manual, human work we rely upon to make the exciting advances in ML possible. The truth is, the division between technology and human activity is artificial. All the inputs- 20948Murphy2025-03-23
Traditional Methods and New Developments- 28973Murphy2025-03-23
This article is the second in a series on crafting technical presentations, encompassing three key concepts I use to create compelling addresses – know your audience, guide your audience, and prepare for responses. To read the first of these article- 28955Murphy2025-03-23
When creating figures in matplotlib, there may be occasions where you want to add a smaller figure or axes inside of your main figure. This could be for a number of reasons, but most commonly, it is used to highlight an area of interest and enlarge it or- 27094Murphy2025-03-23
How OpenAI's latest model can provide insights into visual arts- 25910Murphy2025-03-23
Why to choose them, and how to create them- 21820Murphy2025-03-23
Our weekly selection of must-read Editors' Picks and original features- 28703Murphy2025-03-23
How these two data roles are similar yet very different- 25626Murphy2025-03-23
Artificial Neural Networks (ANNs) are universal function approximators. They can approximate any complex function if provided with enough data, have a proper architecture, and are trained for enough time. But what does "training" a network even- 22719Murphy2025-03-23
One model to rule them all- 21774Murphy2025-03-23
Compare Apple Silicon M2 Max GPU performances to Nvidia V100, P100, and T4 for training MLP, CNN, and LSTM models with TensorFlow.- 26641Murphy2025-03-23
Understanding the Core Processes Behind Generative AI- 29328Murphy2025-03-23
Confusing image-generating AI with poisoned data- 28447Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
