Rhythmic Advantages in Big Data and Machine Learning (Hardcover, 1st ed. 2022)


The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.

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Product Description

The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Studies in Rhythm Engineering

Release date

2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

262

Edition

1st ed. 2022

ISBN-13

978-981-16-5722-1

Barcode

9789811657221

Categories

LSN

981-16-5722-X



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