I’m delighted to announce the book that I’ve been working hard on is now available! The first three chapters are out and I’ll add more throughout the year:
Human-in-the-Loop Machine Learning
I've learned a lot of new things about Machine Learning I would never even have considered before.
If you’re interested in building systems that combine human and machine intelligence, please check it out!
On a technical note, I’ve written most of the code in PyTorch (and will convert the whole book to PyTorch before the final release — one chapter is currently in Numpy). So, the code will be especially interesting for people building Human-in-the-Loop Machine Learning systems in PyTorch. However, the examples will be general enough for you to understand no matter what framework or language you choose to code in!
A huge thanks to my editor Susan, and to everyone who has taken the time to read the text and give me feedback so far!
Here is the first open-source code example, a simple intro to your first Human-in-the-Loop Machine Learning model:
PyTorch Introduction to Active Learning. Contribute to rmunro/pytorch_active_learning development by creating an…
You can leave feedback on the book forum, my github account, or in the comments here — I am open to suggestions about directions to take the book in future chapters!