April 2025
Intermediate to advanced
406 pages
9h 41m
Italian
Content preview from Data Science da zero, seconda edizione
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Capitolo 23. Sistemi di raccomandazione
Questo lavoro è stato tradotto utilizzando l'AI. Siamo lieti di ricevere il tuo feedback e i tuoi commenti: translation-feedback@oreilly.com
O natura, natura, perché sei così disonesta da mandare al mondo uomini con queste false raccomandazioni?
Henry Fielding
Un altro problema comune dei dati è la produzione di raccomandazioni di qualche tipo. Netflix ti consiglia i film che vorresti guardare, Amazon ti consiglia i prodotti che vorresti acquistare, Twitter ti consiglia gli utenti che vorresti seguire. In questo capitolo vedremo diversi modi per utilizzare i dati per creare raccomandazioni.
In particolare, in esamineremo il set di dati di users_interests che abbiamo utilizzato in precedenza:
users_interests=[["Hadoop","Big Data","HBase","Java","Spark","Storm","Cassandra"],["NoSQL","MongoDB","Cassandra","HBase","Postgres"],["Python","scikit-learn","scipy","numpy","statsmodels","pandas"],["R","Python","statistics","regression","probability"],["machine learning","regression","decision trees","libsvm"],["Python","R","Java","C++","Haskell","programming languages"],["statistics","probability","mathematics","theory"],["machine learning","scikit-learn","Mahout","neural networks"],["neural networks","deep learning","Big Data","artificial intelligence"],["Hadoop","Java","MapReduce","Big Data"],["statistics","R","statsmodels"],["C++","deep learning","artificial intelligence","probability"
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.