Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next

Title Building a recommendation system with Surprise and Fast.ai. [O'Reilly electronic resource]

Edition [First edition].
Publication Info. [Place of publication not identified] : Manning Publications, [2021]
QR Code
Description 1 online resource (1 video file (13 min.)) : sound, color.
Playing Time 001300
Description digital rdatr
video file rdaft
Instructional films lcgft
Performer Ariel Gamino, presenter.
Summary Ariel Gamino shows how to put collaborative filtering techniques into action to create recommendation engines, one of the most useful types of machine learning application. You'll become familiar with the workflow of a professional data scientist.
Subject Recommender systems (Information filtering)
Machine learning.
Systèmes de recommandation (Filtrage d'information)
Apprentissage automatique.
Machine learning.
Recommender systems (Information filtering)
Genre Webcast
Instructional films.
Internet videos.
Nonfiction films.
Instructional films.
Nonfiction films.
Internet videos.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Added Author Gamino, Ariel, presenter.
Manning (Firm), publisher.
Patron reviews: add a review
EVIDEO
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information