Data Science And Computational Intelligence PDF Download
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Author | : Aravindan Chandrabose |
Publisher | : Springer Nature |
Total Pages | : 338 |
Release | : 2020-11-20 |
Genre | : Computers |
ISBN | : 3030634671 |
Download Computational Intelligence in Data Science Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the Third IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2020, held in Chennai, India, in February 2020. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 94 submissions. The papers are organized in the following topical sections: computational intelligence for text analysis; computational intelligence for image and video analysis; and data science.
Author | : Vallidevi Krishnamurthy |
Publisher | : Springer Nature |
Total Pages | : 229 |
Release | : 2021-12-11 |
Genre | : Computers |
ISBN | : 3030926001 |
Download Computational Intelligence in Data Science Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the Fourth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2021, held in Chennai, India, in March 2021. The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.
Author | : K. R. Venugopal |
Publisher | : Springer |
Total Pages | : 514 |
Release | : 2021-12-07 |
Genre | : Computers |
ISBN | : 9783030912437 |
Download Data Science and Computational Intelligence Book in PDF, ePub and Kindle
This book constitutes revised and selected papers from the Sixteenth International Conference on Information Processing, ICInPro 2021, held in Bangaluru, India in October 2021. The 33 full and 9 short papers presented in this volume were carefully reviewed and selected from a total of 177 submissions. The papers are organized in the following thematic blocks: Computing & Network Security; Data Science; Intelligence & IoT.
Author | : Ayodeji Olalekan Salau |
Publisher | : CRC Press |
Total Pages | : 272 |
Release | : 2022-03-11 |
Genre | : Computers |
ISBN | : 1000541754 |
Download Computational Intelligence and Data Sciences Book in PDF, ePub and Kindle
This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.
Author | : Rudolf Kruse |
Publisher | : Springer |
Total Pages | : 564 |
Release | : 2016-09-16 |
Genre | : Computers |
ISBN | : 1447172965 |
Download Computational Intelligence Book in PDF, ePub and Kindle
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.
Author | : Hamid R. Arabnia |
Publisher | : Springer Nature |
Total Pages | : 276 |
Release | : 2020-07-08 |
Genre | : Technology & Engineering |
ISBN | : 303043981X |
Download Principles of Data Science Book in PDF, ePub and Kindle
This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice
Author | : Michael R. Berthold |
Publisher | : Springer Nature |
Total Pages | : 427 |
Release | : 2020-08-06 |
Genre | : Computers |
ISBN | : 3030455742 |
Download Guide to Intelligent Data Science Book in PDF, ePub and Kindle
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website. This practical and systematic textbook/reference is a “need-to-have” tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a “need to use, need to keep” resource following one's exploration of the subject.
Author | : Abdellah Idrissi |
Publisher | : Springer Nature |
Total Pages | : 321 |
Release | : 2023-08-25 |
Genre | : Computers |
ISBN | : 3031333098 |
Download Modern Artificial Intelligence and Data Science Book in PDF, ePub and Kindle
This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.
Author | : Priti Srinivas Sajja |
Publisher | : Springer Nature |
Total Pages | : 225 |
Release | : 2020-11-16 |
Genre | : Technology & Engineering |
ISBN | : 9811595895 |
Download Illustrated Computational Intelligence Book in PDF, ePub and Kindle
This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.
Author | : Neeraj Mohan |
Publisher | : CRC Press |
Total Pages | : 311 |
Release | : 2021-10-11 |
Genre | : Computers |
ISBN | : 1000460525 |
Download Artificial Intelligence, Machine Learning, and Data Science Technologies Book in PDF, ePub and Kindle
This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.