Distributed Machine Learning And Computing

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Distributed Machine Learning Patterns

Author : Yuan Tang
Publisher : Manning
ISBN 13 : 9781617299025
Total Pages : 375 pages
Book Rating : 4.2/5 (99 download)

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Book Synopsis Distributed Machine Learning Patterns by : Yuan Tang

Download or read book Distributed Machine Learning Patterns written by Yuan Tang and published by Manning. This book was released on 2022-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you’ll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Scaling Up Machine Learning

Author : Ron Bekkerman
Publisher : Cambridge University Press
ISBN 13 : 0521192242
Total Pages : 493 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Scaling Up Machine Learning by : Ron Bekkerman

Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.

Distributed Machine Learning and Computing

Author : M. Hadi Amini
Publisher : Springer
ISBN 13 : 9783031575662
Total Pages : 0 pages
Book Rating : 4.5/5 (756 download)

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Book Synopsis Distributed Machine Learning and Computing by : M. Hadi Amini

Download or read book Distributed Machine Learning and Computing written by M. Hadi Amini and published by Springer. This book was released on 2024-06-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.

Distributed Algorithms

Author : Wan Fokkink
Publisher : MIT Press
ISBN 13 : 0262026775
Total Pages : 242 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Distributed Algorithms by : Wan Fokkink

Download or read book Distributed Algorithms written by Wan Fokkink and published by MIT Press. This book was released on 2013-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

Advances in Distributed Computing and Machine Learning

Author : Asis Kumar Tripathy
Publisher : Springer Nature
ISBN 13 : 981154218X
Total Pages : 525 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Asis Kumar Tripathy

Download or read book Advances in Distributed Computing and Machine Learning written by Asis Kumar Tripathy and published by Springer Nature. This book was released on 2020-06-11 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Coded Computing

Author : Songze Li
Publisher :
ISBN 13 : 9781680837056
Total Pages : 148 pages
Book Rating : 4.8/5 (37 download)

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Book Synopsis Coded Computing by : Songze Li

Download or read book Coded Computing written by Songze Li and published by . This book was released on 2020 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce the concept of “coded computing”, a novel computing paradigm that utilizes coding theory to effectively inject and leverage data/computation redundancy to mitigate several fundamental bottlenecks in large-scale distributed computing, namely communication bandwidth, straggler’s (i.e., slow or failing nodes) delay, privacy and security bottlenecks.

Scalable and Distributed Machine Learning and Deep Learning Patterns

Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1668498057
Total Pages : 315 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Scalable and Distributed Machine Learning and Deep Learning Patterns by : Thomas, J. Joshua

Download or read book Scalable and Distributed Machine Learning and Deep Learning Patterns written by Thomas, J. Joshua and published by IGI Global. This book was released on 2023-08-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training and serving of machine learning models, reduce time and costs, and address bottlenecks in the system during concurrent model training and inference. The book covers various topics related to distributed machine learning such as data parallelism, model parallelism, and hybrid parallelism. Readers will learn about cutting-edge parallel techniques for serving and training models such as parameter server and all-reduce, pipeline input, intra-layer model parallelism, and a hybrid of data and model parallelism. The book is suitable for machine learning professionals, researchers, and students who want to learn about distributed machine learning techniques and apply them to their work. This book is an essential resource for advancing knowledge and skills in artificial intelligence, deep learning, and high-performance computing. The book is suitable for computer, electronics, and electrical engineering courses focusing on artificial intelligence, parallel computing, high-performance computing, machine learning, and its applications. Whether you're a professional, researcher, or student working on machine and deep learning applications, this book provides a comprehensive guide for creating distributed machine learning, including multi-node machine learning systems, using Python development experience. By the end of the book, readers will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training, all while saving time and costs.

Advances in Distributed Computing and Machine Learning

Author : Jyoti Prakash Sahoo
Publisher : Springer Nature
ISBN 13 : 9811648077
Total Pages : 538 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Jyoti Prakash Sahoo

Download or read book Advances in Distributed Computing and Machine Learning written by Jyoti Prakash Sahoo and published by Springer Nature. This book was released on 2022-01-01 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

Distributed Computing and Artificial Intelligence, 15th International Conference

Author : Fernando De La Prieta
Publisher : Springer
ISBN 13 : 3319946498
Total Pages : 367 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 15th International Conference by : Fernando De La Prieta

Download or read book Distributed Computing and Artificial Intelligence, 15th International Conference written by Fernando De La Prieta and published by Springer. This book was released on 2018-07-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 15th International Symposium on Distributed Computing and Artificial Intelligence 2018 (DCAI 2018) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Castilla-La Mancha, the Osaka Institute of Technology and the University of Salamanca. The present edition was held in Toledo, Spain, from 20th – 22nd June, 2018.

Robust Machine Learning

Author : Rachid Guerraoui
Publisher : Springer Nature
ISBN 13 : 9819706882
Total Pages : 180 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Robust Machine Learning by : Rachid Guerraoui

Download or read book Robust Machine Learning written by Rachid Guerraoui and published by Springer Nature. This book was released on with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Services with Go

Author : Travis Jeffery
Publisher : Pragmatic Bookshelf
ISBN 13 : 9781680507607
Total Pages : 225 pages
Book Rating : 4.5/5 (76 download)

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Book Synopsis Distributed Services with Go by : Travis Jeffery

Download or read book Distributed Services with Go written by Travis Jeffery and published by Pragmatic Bookshelf. This book was released on 2020-10-27 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: You know the basics of Go and are eager to put your knowledge to work. This book is just what you need to apply Go to real-world situations. You'll build a distributed service that's highly available, resilient, and scalable. Along the way you'll master the techniques, tools, and tricks that skilled Go programmers use every day to build quality applications. Level up your Go skills today. Take your Go skills to the next level by learning how to design, develop, and deploy a distributed service. Start from the bare essentials of storage handling, then work your way through networking a client and server, and finally to distributing server instances, deployment, and testing. All this will make coding in your day job or side projects easier, faster, and more fun. Lay out your applications and libraries to be modular and easy to maintain. Build networked, secure clients and servers with gRPC. Monitor your applications with metrics, logs, and traces to make them debuggable and reliable. Test and benchmark your applications to ensure they're correct and fast. Build your own distributed services with service discovery and consensus. Write CLIs to configure your applications. Deploy applications to the cloud with Kubernetes and manage them with your own Kubernetes Operator. Dive into writing Go and join the hundreds of thousands who are using it to build software for the real world. What You Need: Go 1.11 and Kubernetes 1.12.

Advances in Distributed Computing and Machine Learning

Author : Umakanta Nanda
Publisher : Springer
ISBN 13 : 9789819718405
Total Pages : 0 pages
Book Rating : 4.7/5 (184 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Umakanta Nanda

Download or read book Advances in Distributed Computing and Machine Learning written by Umakanta Nanda and published by Springer. This book was released on 2024-06-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Distributed Machine Learning and Computing

Author : M. Hadi Amini
Publisher : Springer Nature
ISBN 13 : 3031575679
Total Pages : 163 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Distributed Machine Learning and Computing by : M. Hadi Amini

Download or read book Distributed Machine Learning and Computing written by M. Hadi Amini and published by Springer Nature. This book was released on with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Computing and Artificial Intelligence, 13th International Conference

Author : Sigeru Omatu
Publisher : Springer
ISBN 13 : 9783319401614
Total Pages : 0 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 13th International Conference by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence, 13th International Conference written by Sigeru Omatu and published by Springer. This book was released on 2016-06-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)

Distributed Computing and Intelligent Technology

Author : Raju Bapi
Publisher : Springer Nature
ISBN 13 : 3030948765
Total Pages : 280 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Distributed Computing and Intelligent Technology by : Raju Bapi

Download or read book Distributed Computing and Intelligent Technology written by Raju Bapi and published by Springer Nature. This book was released on 2022-01-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 18th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2022, held in Bhubaneswar, India, in January 20212. The 11 full papers presented together with 4 short papers were carefully reviewed and selected from 50 submissions. There are also 4 invited papers included. The papers were organized in topical sections named: invited papers, distributed computing and intelligent technology.

Fog Computing

Author : Assad Abbas
Publisher : John Wiley & Sons
ISBN 13 : 1119551692
Total Pages : 616 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Fog Computing by : Assad Abbas

Download or read book Fog Computing written by Assad Abbas and published by John Wiley & Sons. This book was released on 2020-04-21 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes the current state and upcoming trends within the area of fog computing Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth. Presented in two parts—Fog Computing Systems and Architectures, and Fog Computing Techniques and Application—this book covers such important topics as energy efficiency and Quality of Service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling in fog computing systems. It also devotes special attention to emerging trends and the industry needs associated with utilizing the mobile edge computing, Internet of Things (IoT), resource and pricing estimation, and virtualization in the fog environments. Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation systems beyond the theoretical and foundational concepts Explores real-time traffic surveillance from video streams and interoperability of fog computing architectures Presents the latest research on data quality in the IoT, privacy, security, and trust issues in fog computing Fog Computing: Theory and Practice provides a platform for researchers, practitioners, and graduate students from computer science, computer engineering, and various other disciplines to gain a deep understanding of fog computing.

Distributed Artificial Intelligence

Author : Satya Prakash Yadav
Publisher : CRC Press
ISBN 13 : 1000262057
Total Pages : 337 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Distributed Artificial Intelligence by : Satya Prakash Yadav

Download or read book Distributed Artificial Intelligence written by Satya Prakash Yadav and published by CRC Press. This book was released on 2020-12-17 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.