Name: Deep Learning Concepts in Operations Research (Advances in Computational Collective Intelligence) (en Inglés)
SKU: 56113299
Price: 197.99 USD
Availability: InStock
Author: Basu Mallik Biswadip,Mukherjee Gunjan,Kar Rahul

portada Deep Learning Concepts in Operations Research (Advances in Computational Collective Intelligence) (en Inglés)

Deep Learning Concepts in Operations Research (Advances in Computational Collective Intelligence) (en Inglés)

Formato

Libro Físico

Editorial

Auerbach Publications

Autor

Basu Mallik Biswadip,Mukherjee Gunjan,Kar Rahul

Idioma

Inglés

N° páginas

344

Encuadernación

Tapa Dura

ISBN13

9781032553795

N° edición

Deep Learning Concepts in Operations Research (Advances in Computational Collective Intelligence) (en Inglés)

Basu Mallik Biswadip,Mukherjee Gunjan,Kar Rahul (Autor) · Auerbach Publications · Tapa Dura

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Reseña del libro "Deep Learning Concepts in Operations Research (Advances in Computational Collective Intelligence) (en Inglés)"

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and machine learning as well. Among a variety of topics, the book examines: An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions Operations research is the branch of mathematics for performing so many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how the proper decision depends on a number of factors, the book examines how AI and ML can be used to model equations and define constraints to solve more easily problems and discover proper and valid solutions. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.