£136.00

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£136 today · previous high £136 · all-time low £108

Machine Learning: A Physicist Perspective

Amazon

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£136.00 £104.98 £111.75 £118.52 £125.28 £132.05 £138.82 11 August 2026 29 August 2026 17 September 2026 05 October 2026 24 October 2026
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69 days 6 days · current 0 17 35 52 69 £108 £136 Days at Price

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Price range: £108 - £136

Price levels: 2 different prices over 75 days

Description

Deep-learning and machine-learning have gained a significant importance in the last few years. New inventions and discoveries are taking place every day to exploit the concepts of machine-learning technique. The aim of this book is to present the fundamentals of machine-learning with an emphasis on deep-learning, neural networks and physical aspects of machine learning. Design of materials and molecules with desired features is an essential prerequisite for progressing technology in our contemporary societies. This necessitates both the capability to compute precise microscopic characteristics, such as forces, energies and efficient selection of potential energy faces, to attain corresponding macroscopic features. Tools required to achieve the above mentioned goals can be extracted from quantum mechanics, statistical mechanics, and classical physics, respectively. To overcome the challenge of technology integration, significant efforts are being made to speed up quantum physical simulations with the help of machine learning. This evolving interdisciplinary community consists of material scientists, chemists, physicists, computer scientists and mathematicians, coming together to contribute to the exciting field of machine learning and artificial intelligence. This book can be used as a reference material for acquiring fundamentals of machine learning from a physicist's perspective. Moreover, people from all backgrounds can benefit from this introductory book on Machine Learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 December 2021
Listed Since
23 October 2021

Barcode

No barcode data available

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