Tipsa dina vänner om produkten:
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis Alexander Paprotny 1st ed. 2013. Corr. 2nd printing 2014 edition
Pris
SEK 1.069
Beställningsvara
Förväntad leverans 23 nov - 1 dec
Julklappar kan bytas fram till 31:e januari
Få avisering om nya utgåvor med Alexander Paprotny
Lägg till din iMusic-önskelista
eller
Finns även som:
Realtime Data Mining: Self-Learning Techniques for Recommendation Engines - Applied and Numerical Harmonic Analysis
Alexander Paprotny
????Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods.
297 pages, 88 black & white illustrations, 12 colour illustrations, 28 black & white tables, biograp
| Media | Böcker Inbunden Bok (Inbunden bok med hårda pärmar och skyddsomslag) |
| Releasedatum | 16 december 2013 |
| ISBN13 | 9783319013206 |
| Utgivare | Birkhauser Verlag AG |
| Antal sidor | 313 |
| Mått | 158 × 243 × 24 mm · 682 g |
| Språk | Franska |