Matthew Mayo

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if “good enough” is really enough.

Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.

This article introduces and explains key terms important to generative AI, and links to additional resources to learn more.

Chain of Code is an approach to interacting with language models, enhancing reasoning abilities through a blend of writing, executing, and simulating code execution, extending the capabilities of language models in logic, arithmetic, and linguistic tasks, especially those requiring a combination of these.

KDnuggets has brought together all of its in-house cheat sheets from 2023 in this single, convenient location. Have a look to make sure you didn’t miss out on anything over the year.

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

MetaGPT’s newest agent addition makes running data interpretation and analysis tasks a breeze. Find out more and give it a try for yourself.

This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won’t cost you a thing.

Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.