Machine Learning and Metaheuristic Computation. Cuevas, Cuevas, Galvez, Ava**
Machine Learning and Metaheuristic Computation
Erik Cuevas (Author), Jorge Galvez (Author), Omar Avalos (Author), Fernando Wario (Author)
9781394229642, Wiley
Hardback, published 31 October 2024
432 pages
25.4 x 17.8 x 2.6 cm, 1.102 kg
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches
Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both.
Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a re]
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Details:Machine Learning and Metaheuristic Computation. Cuevas, Cuevas, Galvez, Ava**
Machine Learning and Metaheuristic Computation
Erik Cuevas (Author), Jorge Galvez (Author), Omar Avalos (Author), Fernando Wario (Author)
9781394229642, Wiley
Hardback, published 31 October 2024
432 pages
25.4 x 17.8 x 2.6 cm, 1.102 kg
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches
Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both.
Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a re]
Price now:
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Product Description
Machine Learning and Metaheuristic Computation
Erik Cuevas (Author), Jorge Galvez (Author), Omar Avalos (Author), Fernando Wario (Author)
9781394229642, Wiley
Hardback, published 31 October 2024
432 pages
25.4 x 17.8 x 2.6 cm, 1.102 kg
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches
Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both.
Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a re]
Product Specifications
General | |
|---|---|
format | hardback |
Language | english |
type | textbook |
Brand | John Wiley & Sons Inc |
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