Machine Learning For Adaptive Many Core Machines A Practical Approach

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Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Author : Noel Lopes
Publisher : Springer
ISBN 13 : 3319069381
Total Pages : 251 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Machine Learning for Adaptive Many-Core Machines - A Practical Approach by : Noel Lopes

Download or read book Machine Learning for Adaptive Many-Core Machines - A Practical Approach written by Noel Lopes and published by Springer. This book was released on 2014-06-28 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data. This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319990101
Total Pages : 683 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 by : Aboul Ella Hassanien

Download or read book Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-08-28 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 4th International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI2018), which took place in Cairo, Egypt from September 1 to 3, 2018. This international and interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several main sections: Intelligent Systems; Robot Modeling and Control Systems; Intelligent Robotics Systems; Machine Learning Methodology and Applications; Sentiment Analysis and Arabic Text Mining; Swarm Optimizations and Applications; Deep Learning and Cloud Computing; Information Security, Hiding, and Biometric Recognition; and Data Mining, Visualization and E-learning.

Machine Learning for Powder-Based Metal Additive Manufacturing

Author : Gurminder Singh
Publisher : Elsevier
ISBN 13 : 0443221464
Total Pages : 291 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Machine Learning for Powder-Based Metal Additive Manufacturing by : Gurminder Singh

Download or read book Machine Learning for Powder-Based Metal Additive Manufacturing written by Gurminder Singh and published by Elsevier. This book was released on 2024-09-04 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study. - Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs - Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications - Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM

Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics

Author : Omeraki Çekirdekci, ?ahver
Publisher : IGI Global
ISBN 13 : 179988676X
Total Pages : 556 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics by : Omeraki Çekirdekci, ?ahver

Download or read book Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics written by Omeraki Çekirdekci, ?ahver and published by IGI Global. This book was released on 2021-11-26 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic shook the world to its core. After a brief pause, organizations of all kinds had to adapt to the new circumstances given to them with very little time. The presence of the pandemic caused multiple threats that caused several disruptions to the norms, beliefs, and practices in various domains of everyday life. Both from macro and micro perspectives, individuals, households, markets, institutions, and governments developed strategies to respond to the new environment—responses that hope to eliminate or at least decrease the threats of the COVID-19 pandemic. The Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics explores the COVID-19 pandemic from an interdisciplinary perspective and determines how future pandemics may impact society. Beginning as a health threat, the pandemic has led the way to economic, social, psychological, political, and informational crises necessitating the examination of the phenomenon from different academic disciplines. Covering topics such as distance education, human security, and predictions, this handbook of research is an essential resource for scholars, managers, media representatives, governors, health officials, government officials, policymakers, students, professors, researchers, and academicians.

Climate-Smart Rice Breeding

Author : Akansha Singh
Publisher : Springer Nature
ISBN 13 : 981977098X
Total Pages : 375 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Climate-Smart Rice Breeding by : Akansha Singh

Download or read book Climate-Smart Rice Breeding written by Akansha Singh and published by Springer Nature. This book was released on with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Data Mining

Author : D. Binu
Publisher : Academic Press
ISBN 13 : 0128206160
Total Pages : 271 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Artificial Intelligence in Data Mining by : D. Binu

Download or read book Artificial Intelligence in Data Mining written by D. Binu and published by Academic Press. This book was released on 2021-02-17 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. - Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering - Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks - Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense

Computational Collective Intelligence

Author : Manuel Núñez
Publisher : Springer
ISBN 13 : 3319243063
Total Pages : 668 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computational Collective Intelligence by : Manuel Núñez

Download or read book Computational Collective Intelligence written by Manuel Núñez and published by Springer. This book was released on 2015-09-09 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.

Image Analysis and Processing – ICIAP 2019

Author : Elisa Ricci
Publisher : Springer Nature
ISBN 13 : 3030306429
Total Pages : 582 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Image Analysis and Processing – ICIAP 2019 by : Elisa Ricci

Download or read book Image Analysis and Processing – ICIAP 2019 written by Elisa Ricci and published by Springer Nature. This book was released on 2019-09-04 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Parallel and Distributed Computing, Applications and Technologies

Author : Jong Hyuk Park
Publisher : Springer
ISBN 13 : 9811359075
Total Pages : 493 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Jong Hyuk Park

Download or read book Parallel and Distributed Computing, Applications and Technologies written by Jong Hyuk Park and published by Springer. This book was released on 2019-02-07 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018. The 35 revised full papers presented along with the 14 short papers and were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.

Predictive Intelligence Using Big Data and the Internet of Things

Author : Gupta, P.K.
Publisher : IGI Global
ISBN 13 : 1522562117
Total Pages : 316 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Predictive Intelligence Using Big Data and the Internet of Things by : Gupta, P.K.

Download or read book Predictive Intelligence Using Big Data and the Internet of Things written by Gupta, P.K. and published by IGI Global. This book was released on 2018-12-28 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

Emerging Approaches in Design and New Connections With Nature

Author : Özdamar, Esen Gökçe
Publisher : IGI Global
ISBN 13 : 1799867269
Total Pages : 348 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Emerging Approaches in Design and New Connections With Nature by : Özdamar, Esen Gökçe

Download or read book Emerging Approaches in Design and New Connections With Nature written by Özdamar, Esen Gökçe and published by IGI Global. This book was released on 2021-12-03 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s changing and transforming socio-economic, political, cultural, and technological paradigms, we encounter many methodologies, approaches, proposals, and practices in reconsidering the disappearing or emerging relations in the human/nonhuman-environment-nature interaction. These approaches, proposals, and practices range from new methods of urban gardening to biophilic design and augmented/immersive environments. However, these human-centric approaches, which only aim to meet their needs or emerge as technology-oriented replicas and representations of nature, lead to a departure from a holistic approach to the natural and artificial environment. Therefore, how can new and emerging approaches or methodologies draw a holistic framework for environmental health, sustainability, wellness, and co-existence between environments for all living beings? Emerging Approaches in Design and New Connections With Nature covers a variety of topics related to the intersection between nature, environment, and ways of living and provides a comprehensive guide to biophilic design and the idea of design and nature, including benefits, theories, and effects. Covering topics such as biophilic design and sustainability, soundscapes and landscapes, and urban environments and design, it is ideal for architects, designers, urban planners, landscape designers, policymakers, engineers, interior designers, practitioners, students, academicians, and researchers.

Hands-On Machine Learning with R

Author : Brad Boehmke
Publisher : CRC Press
ISBN 13 : 1000730433
Total Pages : 373 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Hands-On Machine Learning with R by : Brad Boehmke

Download or read book Hands-On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.

Machine Learning

Author : RODRIGO F MELLO
Publisher : Springer
ISBN 13 : 3319949896
Total Pages : 373 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Machine Learning by : RODRIGO F MELLO

Download or read book Machine Learning written by RODRIGO F MELLO and published by Springer. This book was released on 2018-08-01 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concepts of Machine Learning. Fundamental concepts of Linear Algebra and Optimization applied to Machine Learning are provided, as well as source codes in R, making the book as self-contained as possible. It starts with an introduction to Machine Learning concepts and algorithms such as the Perceptron, Multilayer Perceptron and the Distance-Weighted Nearest Neighbors with examples, in order to provide the necessary foundation so the reader is able to understand the Bias-Variance Dilemma, which is the central point of the Statistical Learning Theory. Afterwards, we introduce all assumptions and formalize the Statistical Learning Theory, allowing the practical study of different classification algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines. From that, we introduce all necessary optimization concepts related to the implementation of Support Vector Machines. To provide a next stage of development, the book finishes with a discussion on SVM kernels as a way and motivation to study data spaces and improve classification results.

The Principles of Deep Learning Theory

Author : Daniel A. Roberts
Publisher : Cambridge University Press
ISBN 13 : 1316519333
Total Pages : 473 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis The Principles of Deep Learning Theory by : Daniel A. Roberts

Download or read book The Principles of Deep Learning Theory written by Daniel A. Roberts and published by Cambridge University Press. This book was released on 2022-05-26 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Foundations of Machine Learning, second edition

Author : Mehryar Mohri
Publisher : MIT Press
ISBN 13 : 0262351366
Total Pages : 505 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri

Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.