Recurrent Neural Network architectures are a potent way to model and generate sequential data, especially for tasks like working with human language. Let's build one over individual characters to generate cheeky nicknames!

It's remarkably easy to reach a point where our typical Python tools don't really scale suitably with our data in terms of processing time or memory usage. The Dask library joins the power of distributed computing with the flexibility of Python development for data science, with seamless integration to common Python data tools. Let's build a simple data pipeline for working with text data.

Due to its simplicity, Flask is a very popular web framework for building REST APIs in Python - particularly for serving Machine Learning models. Here we'll learn how to migrate to the newer FastAPI framework to take advantage of advances in type checking & asynchronous programming.

What does it mean to be a software engineer on a machine learning team?