#MusicTech: An e-book on data science, analytics, recommender systems and music discovery

#MusicTech: An e-book on data science, analytics, recommender systems, and music discovery

It’s been out for a few weeks, but I haven’t blogged about it, so here it is: My e-book #MusicTech is now available on leanpub. It is an evolving summary of what I’ve been working on for the past few years: data science, analytics, recommender systems, and more; in the context of music discovery.

#MusicTech: An e-book on data science, analytics, recommender systems and music discovery
#MusicTech: An e-book on data science, analytics, recommender systems and music discovery

If you follow this blog, you may notice that the book is an edited version of the posts published over the past 18 months or so. Still, this is a more convenient, and also a more consistent, way to read about it. And you can bring it on a plane!

Most importantly, the book will evolve with additional insights, and original content as well. That’s one of the advantage of leanpub both for authors (start with a MVP, and iterate), and for readers (you’ll get immediate access to any update).

In the meantime, and before the first update due in a few weeks, you can get the book here for $9.99 – or more if you want to support it. If you already read it already and have some comments, feel free to reach-out and tell me what you’d like to see in the next releases.

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