Rhythmic Advantages in Big Data and Machine Learning
Title | Rhythmic Advantages in Big Data and Machine Learning PDF eBook |
Author | Anirban Bandyopadhyay |
Publisher | Springer Nature |
Pages | 270 |
Release | 2022-01-10 |
Genre | Technology & Engineering |
ISBN | 9811657238 |
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.
Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3
Title | Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3 PDF eBook |
Author | Kohei Arai |
Publisher | Springer Nature |
Pages | 829 |
Release | 2022-10-13 |
Genre | Technology & Engineering |
ISBN | 3031183444 |
The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
Data Analytics and Machine Learning
Title | Data Analytics and Machine Learning PDF eBook |
Author | Pushpa Singh |
Publisher | Springer Nature |
Pages | 357 |
Release | |
Genre | |
ISBN | 9819704480 |
Handbook on Big Data and Machine Learning in the Physical Sciences
Title | Handbook on Big Data and Machine Learning in the Physical Sciences PDF eBook |
Author | Surya Kalidindi |
Publisher | |
Pages | |
Release | 2019 |
Genre | Artificial intelligence |
ISBN | 9789811204548 |
"This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics. Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument - driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems"--
Big Data in Psychiatry and Neurology
Title | Big Data in Psychiatry and Neurology PDF eBook |
Author | Ahmed Moustafa |
Publisher | Academic Press |
Pages | 386 |
Release | 2021-06-11 |
Genre | Medical |
ISBN | 0128230029 |
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease and Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. - Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders - Analyzes methods in using big data to treat psychiatric and neurological disorders - Describes the role machine learning can play in the analysis of big data - Demonstrates the various methods of gathering big data in medicine - Reviews how to apply big data to genetics
Advances in Machine Learning and Big Data Analytics II
Title | Advances in Machine Learning and Big Data Analytics II PDF eBook |
Author | Ashokkumar Patel |
Publisher | Springer |
Pages | 0 |
Release | 2024-06-20 |
Genre | Mathematics |
ISBN | 9783031513411 |
In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making, automation, and predictive capabilities. Meanwhile, Big Data Analytics processes and extracts insights from vast and complex datasets, unveiling hidden patterns and trends. Together, these fields enable us to harness the immense power of data for smarter business strategies, improved healthcare, enhanced user experiences, and countless other applications. This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, which was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) introduces an exciting journey into the intersection of machine learning and Big Data Analytics, where data becomes a catalyst for progress and transformation.
Big Data Analysis: New Algorithms for a New Society
Title | Big Data Analysis: New Algorithms for a New Society PDF eBook |
Author | Nathalie Japkowicz |
Publisher | Springer |
Pages | 0 |
Release | 2015-12-28 |
Genre | Technology & Engineering |
ISBN | 9783319269870 |
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.