This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Slicing bytes copies. On a small payload nobody notices, but slice a large packet or image buffer in a loop and the copies ...

Building an AI agent can start with surprisingly little code. Python basics, an LLM API, a few tools, and a defined task are often enough for an early ...

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...

Microsoft offers free beginner courses on AI, data science, machine learning, and generative AI on GitHub for students and beginners.

If you’ve spent any time around tech circles lately, you’ve probably noticed two buzzwords colliding more and more often: quantum computing and machine learning. Individually, each one already sounds ...

This course focuses on the fundamentals of preparing data for machine learning using Databricks. Participants will learn essential skills for exploring, cleaning, and organizing data tailored for ...