Playlist of Chance: How Data Decide for Us (Thinking in Code – Stories, Ideas, and Futures of Computer Science)

By Nicola Meneghini

If an algorithm could read your musical taste, could it predict the next song you'll fall in love with?
In a world where every click, listen, and preference leaves a digital footprint, The Playlist of Chance tells the surprising story of how data - silent yet powerful - have learned to listen, predict, and recommend.
But it's not just about numbers: it's a narrative that weaves together mathematics, music, and humanity.

From the early recommendations of Netflix to the advanced predictive models of Spotify, this book takes you into the heart of the algorithms that shape our everyday choices.
You'll discover how recommendation systems really work, why they fail, and where artificial intelligence meets the limits of human unpredictability.

Written in a clear and sharp tone, The Playlist of Chance is not just an essay - it's a fascinating journey into the mathematical mind of digital platforms.
And perhaps, it's also an invitation to better understand ourselves, through the music we listen to.

• Format: Paperback
• Language: English
• ISBN: B0FHL1T7D8
• ISBN13: 9798292519362
• Release Date: July 2025
• Publisher: Independently published
• Length: 89 Pages
• Weight: 0.29 lbs.
• Dimensions: 9.0" x 0.2" x 6.0"