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In den WarenkorbHardback. Zustand: New. The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirementsSetting up the infrastructure for the project and resourcing a teamWorking with clients and other stakeholdersDealing with data resources and bringing them into the project for useHandling the lifecycle of models in the projectManaging the application of ML algorithmsEvaluating the performance of algorithms and modelsMaking decisions about which models to adopt for deliveryTaking models through development and testingIntegrating models with production systems to create effective applicationsSteps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear - this book lays out the unique practices you will need to ensure your projects succeed!
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In den WarenkorbHardback. Zustand: New. The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirementsSetting up the infrastructure for the project and resourcing a teamWorking with clients and other stakeholdersDealing with data resources and bringing them into the project for useHandling the lifecycle of models in the projectManaging the application of ML algorithmsEvaluating the performance of algorithms and modelsMaking decisions about which models to adopt for deliveryTaking models through development and testingIntegrating models with production systems to create effective applicationsSteps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear - this book lays out the unique practices you will need to ensure your projects succeed!
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In den WarenkorbZustand: New. Über den AutorSimon Thompson has spent 25 years developing AI systems. He led the AI research program at BT Labs in the UK, where he helped pioneer Big Data technology for the company and managed an applied research practice for .
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Verlag: Manning Publications Aug 2023, 2023
ISBN 10: 163343902X ISBN 13: 9781633439023
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ISBN 10: 163343902X ISBN 13: 9781633439023
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In den WarenkorbHardcover. Zustand: new. Hardcover. The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirementsSetting up the infrastructure for the project and resourcing a teamWorking with clients and other stakeholdersDealing with data resources and bringing them into the project for useHandling the lifecycle of models in the projectManaging the application of ML algorithmsEvaluating the performance of algorithms and modelsMaking decisions about which models to adopt for deliveryTaking models through development and testingIntegrating models with production systems to create effective applicationsSteps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear this book lays out the unique practices you will need to ensure your projects succeed! For anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive guide that does not require any technical skills. This edition will help you discover battle-tested data infrastructure techniques and will guide you through bringing a project to a successful conclusion. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Manning Publications, New York, 2023
ISBN 10: 163343902X ISBN 13: 9781633439023
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirementsSetting up the infrastructure for the project and resourcing a teamWorking with clients and other stakeholdersDealing with data resources and bringing them into the project for useHandling the lifecycle of models in the projectManaging the application of ML algorithmsEvaluating the performance of algorithms and modelsMaking decisions about which models to adopt for deliveryTaking models through development and testingIntegrating models with production systems to create effective applicationsSteps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear this book lays out the unique practices you will need to ensure your projects succeed! For anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive guide that does not require any technical skills. This edition will help you discover battle-tested data infrastructure techniques and will guide you through bringing a project to a successful conclusion. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.