This book, which is probably my last solo project, is one I wrote after discussing it with a technical publisher last summer. Although he was quite keen on the idea and was willing to offer me a good deal, I decided to stick with my current publisher (Technics Publications) for various reasons. So, a few months afterwards, this book came along. It wasn't an easy journey since at the same time I had to finalize the Data Scientist Bedside Manner book, which I co-authored with Yunus Bulut. However, with enough patience and perseverance, this book also came along shortly after the Bedside Manner was finalized.
Julia for Machine Learning is a fresh take on Julia's data science potential, with a focus on machine learning models. Although I don't cover AI-based ones in it, I make references to Julia packages you can use. The book is accompanied by a few Jupyter notebooks as well as three .jl script files containing heuristics never been seen in this language (a couple of them are brand new that I developed in the past year and are only available in Julia).
Although the book is not yet available in the publisher's website, you can find it on Amazon, both in paperback and Kindle format. Happy Julia programming!
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.