Bộ sách luyện thi ETS 2023 LC&RC
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Sách keo gáy, bìa mềm
The model-based approach for carrying out the
classification and identification of tasks has led to progression of the
machine learning paradigm in diversified fields of technology. Deep
Learning Applications in Operations Research presents the varied
applications 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 phenomenon. Such fields as object
classification, speech recognition, and face detection have sought
extensive applications of artificial intelligence (AI) and machine
learning as well. The application of AI and ML has also become
increasingly common in the domains of agriculture, health sectors, and
insurance. Operations research is the branch of mathematics used to
perform 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 to aid in decision making. Arriving
at the proper decision depends on a number of factors the; this book
examines how AI and ML can be used to model equations and define
constraints to solve problems more easily and discover proper and valid
solutions. This book also looks at how automation plays a significant
role in minimizing human labor and thereby minimizes overall time and
cost. Case studies examine how to streamline operations and unearth data
to make better business decisions. The concepts presented in this book
can bring about and guide unique research directions to the future
application of AI-enabled technologies.
Content Type:Sách
Tập:null
Năm:2025
In lần thứ:null
Ngôn ngữ:english
Trang: 470
