Machine Learning and Data Mining - Carlton Braganza
-30% ar kodu BOOKS
Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
The book "Machine Learning and Data Mining" focuses on different classification techniques, such as decision trees, support vector machines, and nearest neighbors. It delves into methods like decision trees, support vector machines, and nearest neighbors. The book offers a comparative analysis of these algorithms, emphasizing their individual advantages and drawbacks. Its aim is to assist researchers, pract ... Pilns apraksts
Jums varētu patikt arī
TOP
The Ballad of Falling Dragons (Standard Edition): A Novel
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Dominion: Shortlisted for the 2026 Women's Prize for Fiction
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Remarkably Bright Creatures: A Novel
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Heated Rivalry: Now Streaming on Crave and HBO Max
-30% ar kodu BOOKS
Noliktavā
TOP
House of Leaves: The Remastered Full-Color Edition
-30% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
The book "Machine Learning and Data Mining" focuses on different classification techniques, such as decision trees, support vector machines, and nearest neighbors. It delves into methods like decision trees, support vector machines, and nearest neighbors. The book offers a comparative analysis of these algorithms, emphasizing their individual advantages and drawbacks. Its aim is to assist researchers, practitioners, and data scientists in selecting the most appropriate classification algorithm for their particular requirements. By providing insights into the different techniques, this comprehensive guide aids in the decision-making process when it comes to choosing the right approach for classification tasks. This comprehensive guide helps researchers, practitioners, and data scientists choose the most suitable classification algorithm for their specific needs.
Vairāk informācijas
| Autors | Carlton Braganza |
|---|---|
| Izdevējs | DISCOVERY PUBLISHING HOUSE |
| Izlaides gads | 2024 |
| Vāka tips | Cietais vāks |
| EAN | 9788119365630 |