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Recent Trends In Learning From Data
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Book Synopsis Recent Trends in Learning From Data by : Luca Oneto
Download or read book Recent Trends in Learning From Data written by Luca Oneto and published by Springer Nature. This book was released on 2020-04-03 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
Book Synopsis Recent Trends in Learning From Data by : Luca Oneto
Download or read book Recent Trends in Learning From Data written by Luca Oneto and published by Springer. This book was released on 2021-04-04 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
Book Synopsis Recent Trends and Future Challenges in Learning from Data by : Cristina Davino
Download or read book Recent Trends and Future Challenges in Learning from Data written by Cristina Davino and published by Springer Nature. This book was released on with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Learning from Data by : Yaser S. Abu-Mostafa
Download or read book Learning from Data written by Yaser S. Abu-Mostafa and published by . This book was released on 2012-01-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Learning from Data by : Vladimir Cherkassky
Download or read book Learning from Data written by Vladimir Cherkassky and published by John Wiley & Sons. This book was released on 2007-09-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Book Synopsis Handbook of Research on Emerging Trends and Applications of Machine Learning by : Solanki, Arun
Download or read book Handbook of Research on Emerging Trends and Applications of Machine Learning written by Solanki, Arun and published by IGI Global. This book was released on 2019-12-13 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.
Book Synopsis Recent Trends in Data Science and Soft Computing by : Faisal Saeed
Download or read book Recent Trends in Data Science and Soft Computing written by Faisal Saeed and published by Springer. This book was released on 2018-09-08 with total page 1133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.
Book Synopsis Recent Trends and Future Challenges in Learning from Data by : Cristina Davino
Download or read book Recent Trends and Future Challenges in Learning from Data written by Cristina Davino and published by Springer. This book was released on 2024-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: “Avoiding drowning in the data: recent trends and future challenges in learning from data”. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.
Book Synopsis Learning from Data by : IntroBooks Team
Download or read book Learning from Data written by IntroBooks Team and published by IntroBooks. This book was released on with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Data is the concept which has developed recently. Data is a concept which is raw in nature and it has been given meaning only after compilation and currently, after globalization. The amount of data in all the sectors have grown enormously. Learning from Data is a very popular concept now as companies are saving data only to extract and make analysis out of the same on which various other factors are dependent. The other factors are majorly competitive basis and help big tier companies to study the market and grow even more in the present competitive era. With so much data around, another important aspect is the protection of data. To make use of data, the next major factor is its protection as since the competition exists in all fields; the data field is no exception. Data is the current trending concept all over the globe and research over the same will undoubtedly fetch more of analysis.
Book Synopsis Transforming Teaching and Learning Through Data-Driven Decision Making by : Ellen B. Mandinach
Download or read book Transforming Teaching and Learning Through Data-Driven Decision Making written by Ellen B. Mandinach and published by Corwin Press. This book was released on 2012-04-10 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.
Book Synopsis Trends of Data Science and Applications by : Siddharth Swarup Rautaray
Download or read book Trends of Data Science and Applications written by Siddharth Swarup Rautaray and published by Springer Nature. This book was released on 2021-03-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.
Book Synopsis Future and Emerging Trends in Language Technology. Machine Learning and Big Data by : José F Quesada
Download or read book Future and Emerging Trends in Language Technology. Machine Learning and Big Data written by José F Quesada and published by Springer. This book was released on 2017-10-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.
Book Synopsis Recent Trends and Future Direction for Data Analytics by : Kumari, Aparna
Download or read book Recent Trends and Future Direction for Data Analytics written by Kumari, Aparna and published by IGI Global. This book was released on 2024-05-14 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.
Book Synopsis Learning from Imbalanced Data Sets by : Alberto Fernández
Download or read book Learning from Imbalanced Data Sets written by Alberto Fernández and published by Springer. This book was released on 2018-10-22 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.
Book Synopsis Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics by : Haruna Chiroma
Download or read book Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics written by Haruna Chiroma and published by Springer Nature. This book was released on 2021-04-01 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
Book Synopsis Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases by : Saptarshi Chatterjee
Download or read book Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases written by Saptarshi Chatterjee and published by Academic Press. This book was released on 2021-11-07 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis provides comprehensive coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform evaluation and diagnosis (avoiding subjective judgment) of skin disorders. The methods and tools are described in a general way so that these tools can be applied not only for skin diseases but also for a wide range of analogous problems in the domain of biomedical systems. Moreover, quantification of clinically relevant information that can associate the findings of physicians/experts is the most challenging task of any CAD system. This book gives all the details in a step-by-step form for different modules so that the readers can develop each of the modules like preprocessing, feature extraction/learning, disease classification, as well as an entire expert diagnosis system themselves for their own applications. - Demonstrates extensive calculations for illustrating the theoretical analysis of advanced image processing and machine learning techniques - Provides a comprehensive coverage on the development of various signal processing tools for the extraction of statistical and clinically correlated features from skin lesion images - Describes image processing and machine learning techniques for improved uniform evaluation and diagnosis of skin disorders
Book Synopsis Recent Trends in Computational Sciences by : Gururaj H L
Download or read book Recent Trends in Computational Sciences written by Gururaj H L and published by CRC Press. This book was released on 2023-11-17 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.
