Machine Learning Tutorials For Pure Mathematics And Theoretical Physics (Hardcover)

Lingua: inglese

Editore: World Scientific Europe Ltd, London, 2026

180729000X / 9781807290009

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Hardcover. This book offers a focused collection of tutorials on applying machine learning techniques to research in theoretical physics and pure mathematics. Machine learning continues to transform the scientific landscape, providing powerful tools capable of driving significant advances across these disciplines. Through step-by-step guidance, practical examples, and clear conceptual explanations, this text equips students and researchers with the knowledge and skills needed to integrate these methods into their own work.The book begins with an introduction to the core principles of machine learning, including neural networks and transformer architectures. It then explores advanced optimisation and search strategies, with an in-depth look at genetic algorithms and quantum annealing. In the final chapters, these techniques are applied to contemporary problems in string theory and knot theory, illustrating their potential in cutting-edge research contexts. Throughout, the material is reinforced with worked examples and accompanied by code implementations to support hands-on learning.Designed for graduate students and researchers in physics and mathematics, this book serves as an accessible yet rigorous introduction to the practical use of machine learning in modern scientific research. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9781807290009

Titolo
Machine Learning Tutorials For Pure Mathematics And Theoretical Physics (Hardcover)
Autore
Andrei Constantin
Editore
World Scientific Europe Ltd, London
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Hardcover
Lingua
inglese
ISBN 10
180729000X
ISBN 13
9781807290009

Grand Eagle Retail

Bensenville, IL, U.S.A.

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

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