Transactional Machine Learning Data by Maurice Sebastian (24 results)

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Paperback or Softback. Condition: New. Transactional Machine Learning with Data Streams and Automl: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud. Book.

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Paperback. Condition: New. Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka. Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution. This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips.    What You Will LearnDiscover transactional machine learning Measure the business value of TML Choose TML use casesDesign technical architecture of TML solutions with Apache KafkaWork with the technologies used to build TML solutionsBuild transactional machine learning solutions with hands-on code togetherwith Apache Kafka in the cloud Who This Book Is For Data scientists, machine learning engineers and architects,  and AI and machine learning business leaders.…

Condition: New. 2021. 1st ed. paperback. . . . . .

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Paperback. Condition: Brand New. 292 pages. 10.00x7.01x0.66 inches. In Stock.

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Taschenbuch. Condition: Neu. Transactional Machine Learning with Data Streams and AutoML | Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python | Sebastian Maurice | Taschenbuch | xv | Englisch | 2021 | Apress | EAN 9781484270226 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condition: New. Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka. Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution. This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips.    What You Will LearnDiscover transactional machine learning Measure the business value of TML Choose TML use casesDesign technical architecture of TML solutions with Apache KafkaWork with the technologies used to build TML solutionsBuild transactional machine learning solutions with hands-on code togetherwith Apache Kafka in the cloud Who This Book Is For Data scientists, machine learning engineers and architects,  and AI and machine learning business leaders.…

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | Intermediate-Advanced.

Softcover. Condition: gut. 2021. Transactional Machine Learning with Data Streams and AutoML In englischer Sprache. pages.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights).This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka.Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams.You will learn the framework that will help you in choosing business problems that are best suited for TML.You will also see how to measure the business value of TML solutions.You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution.This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions.Specifically, you are given access to a TML Python library and integration technologies for download.You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML.You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips. What You Will Learn Discover transactional machine learning Measure the business value of TML Choose TML use cases Design technical architecture of TML solutions with Apache Kafka Work with the technologies used to build TML solutions Build transactional machine learning solutions with hands-on code togetherwith Apache Kafka in the cloud Who This Book Is ForData scientists,machine learning engineers and architects, and AI and machine learning business leaders. 292 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced|Explains transactional machine learning within a technical and business context that broadens the audience to technical developers, to mid managers, to business executivesShows how automated machine learning can be .…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights).This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka.Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams.You will learn the framework that will help you in choosing business problems that are best suited for TML.You will also see how to measure the business value of TML solutions.You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution.This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions.Specifically, you are given access to a TML Python library and integration technologies for download.You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML.You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips. What You Will Learn Discover transactional machine learning Measure the business value of TML Choose TML use cases Design technical architecture of TML solutions with Apache Kafka Work with the technologies used to build TML solutions Build transactional machine learning solutions with hands-on code togetherwith Apache Kafka in the cloud Who This Book Is ForData scientists,machine learning engineers and architects, and AI and machine learning business leaders.…

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka.Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution.This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips.What You Will LearnDiscover transactional machine learningMeasure the business value of TML Choose TML use casesDesign technical architecture of TML solutions with Apache KafkaWork with the technologies used to build TML solutionsBuild transactional machine learning solutions with hands-on code togetherwith Apache Kafka in the cloudWho This Book Is ForData scientists, machine learning engineers and architects, and AI and machine learning business leaders.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.…