Name: Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2) (en Inglés)
SKU: 63644863
Price: 152.91 USD
Availability: InStock
Author: Kumar Lilhore Umesh,Dutt Vishal,Kumar T. Ananth
ISBN: 9783111436050

portada Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2) (en Inglés)

Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2) (en Inglés)

Formato

Libro Físico

Editorial

De Gruyter

Autor

Kumar Lilhore Umesh,Dutt Vishal,Kumar T. Ananth

Idioma

Inglés

N° páginas

434

Encuadernación

Tapa Dura

ISBN13

9783111436050

N° edición

Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2) (en Inglés)

Kumar Lilhore Umesh,Dutt Vishal,Kumar T. Ananth (Autor) · De Gruyter · Tapa Dura

Libro Nuevo Importado

Envío: 26 a 33 días háb.

$ 278.01$ 152.91

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 152.91

Llega entre el 18 Sep y el 01 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2) (en Inglés)"

The book presents powerful optimization approaches for integrating AI into daily life.This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machine learning. The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from state-of-the-art decision-making algorithms for robots to data-driven machine learning models. Each chapter offers a meticulous examination of the theoretical foundations and practical applications of mathematical optimization, helping readers understand how these methods are transforming the field of technology.This book is an invaluable resource for researchers, practitioners, and students. It makes AI optimization accessible and comprehensible, equipping the next generation of innovators with the knowledge and skills to further advance robotics and machine learning. While artificial intelligence constantly evolves, this book sheds light on the path ahead.