
Practical Recommender Systems by Kim Falk
Key features A behind the scenes look at recommender systems Hands-on lessons Step-by-step guide Audience This book assumes you're comfortable reading code in Python and have some experience with databases.
Kim Falk is a Data Scientist at Adform, where he is working on recommender systems. He has experience in providing recommendations for large entertainment companies and working with big data solutions.
| SKU | Unavailable |
| ISBN 13 | 9781617292705 |
| ISBN 10 | 1617292702 |
| Title | Practical Recommender Systems |
| Author | Kim Falk |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Manning Publications |
| Year published | 2019-02-25 |
| Number of pages | 375 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

















































