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    Deep Learning Concepts in Operations Research

Deep Learning Concepts in Operations Research

Biswadip Basu Mallik
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      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 devicesDeep learning impacts in the field of AIDeep learning as state-of-the-art approach to AIExploring deep learning architecture for cutting-edge AI solutionsOperations 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.
      Format: CONTRIBUTORS: Biswadip Basu Mallik EAN: 9781032553795 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-08-30 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, MATHEMATICS / Optimization WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Artificial intelligence

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      Biswadip Basu Mallik is a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India.Gunjan Mukherjee is an Assistant professor in the Department of Computational Science, Brainware University, Barasat, India. Rahul Kar holds a master's degree in mathematics from Burdwan University and is currently working as a SACT-II Mathematics faculty of Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal.Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India, and a recognized researcher of healthcare and technology.
      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 devicesDeep learning impacts in the field of AIDeep learning as state-of-the-art approach to AIExploring deep learning architecture for cutting-edge AI solutionsOperations 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.
      Format: CONTRIBUTORS: Biswadip Basu Mallik EAN: 9781032553795 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2024-08-30 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, MATHEMATICS / Optimization WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Artificial intelligence

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      Biswadip Basu Mallik is a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India.Gunjan Mukherjee is an Assistant professor in the Department of Computational Science, Brainware University, Barasat, India. Rahul Kar holds a master's degree in mathematics from Burdwan University and is currently working as a SACT-II Mathematics faculty of Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal.Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India, and a recognized researcher of healthcare and technology.

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