Bayesian Optimization
Garnett Roman (Washington University in St Louis)
9781108425780
onload="displayBookAvailableStatusC()"/>
Rating:
Rs. 34300.00
Delivery in 25 - 45 working days
Covid-19 Notice
Due to the current situation the Delivey will be delayed than the standard shipping period (21 working days)
Call our hotline 011 7 463 463
Additional Information
Add to wishlist
| Author(s) :- Garnett Roman (Washington University in St Louis) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2023-02-09 |
| ISBN-13 :- 9781108425780 | |
| Pagination :- 358 pages, Worked examples or Exercises | |
| Dimensions :- 259 x 211 x 24 | |
| Weight :- 992 |
Description
Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics – and practitioners from other fields – wishing to harness the power of Bayesian optimization.
