Next Generation Machine Learning With Spark
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Next Generation Machine Learning With Spark
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Author : Butch Quinto
language : en
Publisher: Apress
Release Date : 2020-02-22
Next Generation Machine Learning With Spark written by Butch Quinto and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-22 with Computers categories.
Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications. The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry. Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations. What You Will Learn Be introduced to machine learning, Spark, and Spark MLlib 2.4.x Achieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM libraries Detect anomalies with the Isolation Forest algorithm for Spark Use the Spark NLP and Stanford CoreNLP libraries that support multiple languages Optimize your ML workload with the Alluxio in-memory data accelerator for Spark Use GraphX and GraphFrames for Graph Analysis Perform image recognition using convolutional neural networks Utilize the Keras framework and distributed deep learning libraries with Spark Who This Book Is For Data scientists and machine learning engineers who want to take their knowledge to the next level and use Spark and more powerful, next-generation algorithms and libraries beyond what is available in the standard Spark MLlib library; also serves as a primer for aspiring data scientists and engineers who need an introduction to machine learning, Spark, and Spark MLlib.
Agents And Multi Agent Systems Technologies And Applications 2021
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Author : G. Jezic
language : en
Publisher: Springer Nature
Release Date : 2021-06-07
Agents And Multi Agent Systems Technologies And Applications 2021 written by G. Jezic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Technology & Engineering categories.
This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation, and anthropic-oriented computing that were originally presented at the 15th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2021), being held as a Virtual Conference in June 14–16, 2021. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems, and nature-inspired manufacturing, all of which contribute to the modern digital economy.
Artificial Intelligence For Autonomous Networks
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Author : Mazin Gilbert
language : en
Publisher: CRC Press
Release Date : 2018-09-25
Artificial Intelligence For Autonomous Networks written by Mazin Gilbert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19
Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.
Learning Spark
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Author : Holden Karau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-01-28
Learning Spark written by Holden Karau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-28 with Computers categories.
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables
Apache Spark 4 In Action
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Author : Frank Reiniger
language : en
Publisher: Independently Published
Release Date : 2025-10-28
Apache Spark 4 In Action written by Frank Reiniger and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-28 with Computers categories.
Apache Spark 4 in Action: Real-world Data Engineering, Streaming, and AI for the Next Generation of Enterprises What if you could build scalable, intelligent data systems that power real-time insights and AI-driven decisions across your entire organization? Apache Spark 4 in Action shows you how to engineer production-grade data and AI pipelines that perform reliably at enterprise scale. Designed for data engineers, developers, and architects, this hands-on guide moves beyond theory to show how modern Spark works in the real world, from batch ETL and streaming analytics to distributed machine learning and lakehouse architectures. At its core, this book solves the most pressing challenge in modern data engineering: how to move from fragmented systems and slow pipelines to unified, scalable, and cost-efficient Spark platforms that serve real business impact. You'll learn how to: - Configure Spark 4 for production workloads on clusters, cloud, and Kubernetes. - Master DataFrame, Dataset, and Spark SQL APIs for safe, high-performance transformations. - Build fast, reliable ETL and streaming pipelines with advanced optimizations for partitioning, caching, and stateful processing. - Train, tune, and serve machine learning models using Spark MLlib and end-to-end ML pipelines. - Secure, monitor, and govern enterprise Spark environments for compliance and resilience. - Design lakehouse architectures that combine batch, streaming, and AI workloads on a single platform. Each chapter is packed with proven strategies, concise explanations, and fully working code samples. Whether you're handling petabytes of telemetry data, training distributed models, or modernizing legacy Hadoop systems, this book gives you the tools and confidence to do it efficiently and right. Spark 4 represents the next evolution of distributed data processing, faster, smarter, and built for the demands of real-time enterprises. This book is your blueprint for mastering it. Transform the way your organization handles data. Get your copy of Apache Spark 4 in Action and start engineering the future of analytics today.
Ieee Asme International Conference On Advanced Intelligent Mechatronics Proceedings
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Author :
language : en
Publisher:
Release Date : 1999
Ieee Asme International Conference On Advanced Intelligent Mechatronics Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mechatronics categories.
New Scientist
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Author :
language : en
Publisher:
Release Date : 1993
New Scientist written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Science categories.
Ics Applied Artificial Intelligence Reporter
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Author :
language : en
Publisher:
Release Date : 1985
Ics Applied Artificial Intelligence Reporter written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Artificial intelligence categories.
Applied Artificial Intelligence Reporter
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Author :
language : en
Publisher:
Release Date : 1985
Applied Artificial Intelligence Reporter written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Artificial intelligence categories.