front matter
The technology world is abuzz with machine learning. Every day we are bombarded with articles on its applications and advances. But there is a quiet revolution brewing among practitioners, and that revolution puts graphs at the very heart of machine learning.
Alessandro wrote this book after almost a decade of practice, at the confluence of graphs and machine learning. Had Alessandro worked for one of the Web giants distilling the knowledge of an army of PhDs working on special one-off systems, this would be an interesting book, but for the majority of us it would satisfy our curiosity rather than being a practical guide. Fortunately for us, while Alessandro does have a PhD, he works in the enterprise space and has deep empathy and understanding for the kinds of systems that enterprises build. The book reflects this: Alessandro ably addresses the kinds of practical design and implementation challenges that software engineers and data professionals building contemporary systems outside of the hyperscale Web giants must circumvent.