Machine Learning in Modeling and Simulation: Methods and Applications -
-40% ar kodu BOOKS
Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With th ... Pilns apraksts
Jums varētu patikt arī
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
-40% ar kodu BOOKS
Nav noliktavā
TOP
Heart Rate Variability: Science and Strategies for Peak Performance
Marco Altini, Sylvain Laborde, Dan Plews, Emma Mosley
-40% ar kodu BOOKS
Nav noliktavā
TOP
Many Faces, One Purpose: A Manager's Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-40% ar kodu BOOKS
Nav noliktavā
TOP
Thinking in Systems: International Bestseller
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-40% ar kodu BOOKS
Nav noliktavā
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
101 Things I Learned in Architecture School
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Worth Dying For: The Power and Politics of Flags
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Only Dull People Are Brilliant at Breakfast
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Playing It by the Book: Printed and Manuscript Book Games in Early Modern Europe
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
International Economics: Theory and Policy, Global Edition
Paul Krugman, Maurice Obstfeld, Marc Melitz
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-40% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.
Vairāk informācijas
| Izdevējs | Springer Nature Switzerland |
|---|---|
| Series | Computational Methods in Engineering & the Sciences |
| Izlaides gads | 2023 |
| Vāka tips | Cietais vāks |
| EAN | 9783031366437 |