Using a Convolutional Neural Network to check specialization in feature extraction- 24566Murphy2025-03-22
A guide on who should use it, when to use it, how to use it, and why I was wrong before...- 26078Murphy2025-03-22
Causal Diagram: Confronting the Achilles’ Heel in Observational Data In my previous two articles, I kicked off the "Read with Me" series and finished reading the first two chapters from "The Book of Why" by Judea Pearl. These art- 28377Murphy2025-03-22
Background, implementation, and model improvement- 22798Murphy2025-03-22
Clear explanations of the classic but confusing L1 and L2 regularization graph. Unlocking the Intuition Behind L1 Sparsity- 28590Murphy2025-03-22
In this article, I explore the UN Comtrade international trade database by focusing on the "Chocolate and other food preparations containing cocoa" trade category. While this particular focus gives my article a clear direction on a literal niche- 20345Murphy2025-03-22
Our weekly selection of must-read Editors' Picks and original features- 24015Murphy2025-03-22
Tinkering with Python's constructor to create fast, memory-efficient classes- 24971Murphy2025-03-22
The driving force behind modern transformer models stems to a large extent from its pertaining data, allowing for strong in-context...- 22203Murphy2025-03-22
Getting statistical insights using Pandas and the YouTube Data API- 26530Murphy2025-03-22
To deploy a pipeline, typically there is a main script, or a single point of entry that runs the whole pipeline. For example, in a data science pipeline, the point of entry of the code repository should orchestrate and run the data, feature engineering, m- 27178Murphy2025-03-22
Understand the key elements that power advanced recommendation engines- 25983Murphy2025-03-22
A deep dive into air quality data- 23624Murphy2025-03-22
Yet another tool that could help you with LLM applications- 25440Murphy2025-03-22
A step by step guide of basics for beginners- 24827Murphy2025-03-22
Introduction If you’re a regular driver, the hood of your car could be full of cotton for all you care. However, if you are anywhere in the design and execution chain responsible for building a better car, knowing what the different parts are and ho- 22532Murphy2025-03-22
Help Start-Up Founders Find the Best Incubators: an end-to-end project. Harness, a startup dedicated to assisting founders in their entrepreneurial journey, approached me to develop a tool that aids their community in finding the most suitable incubators:- 21402Murphy2025-03-22
A guide for utilizing the cloud with every step of the data science workflow- 30142Murphy2025-03-22
Breaking down a Maximum Likelihood-based approach with example code- 25587Murphy2025-03-22
More powerful than it seems: use typing.Literal to create literal types- 20964Murphy2025-03-22
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Our weekly selection of must-read Editors' Picks and original features
