Applications machine learning (Más de 7500 resultados)

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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Paperback. Condición: Very Good. Publisher\'s Note: This edition from 2019 is outdated and is not compatible with the latest version of Go. A new third edition, updated for 2021 and featuring the latest in Go programming, has now been published. Key Features Second edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques Completes the Go developer?s education with real-world guides to building high-performance production systems Packed with practical examples and patterns to apply to your own development work Clearly explains Go nuances and features to remove the frustration from Go development Book DescriptionOften referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go?s capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques.What you will learn Clear guidance on using Go for production systems Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code A full guide to all Go data types, composite types, and data structures Master packages, reflection, and interfaces for effective Go programming Build high-performance systems networking code, including server and client-side applications Interface with other systems using WebAssembly, JSON, and gRPC Write reliable, high-performance concurrent code Build machine learning systems in Go, from simple statistical regression to complex neural networks Who this book is forMastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners.…

Paperback. Condición: Good. Put the power of AWS Cloud machine learning services to work in your business and commercial applications!  Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services. Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You?ll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you?ll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems. ?    Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building ?    Discover common neural network frameworks with Amazon SageMaker ?    Solve computer vision problems with Amazon Rekognition ?    Benefit from illustrations, source code examples, and sidebars in each chapter The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem.…

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Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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paperback. Condición: Good.

Paperback. Condición: Very Good. Publisher\'s Note: This edition from 2019 is outdated and is not compatible with the latest version of Go. A new third edition, updated for 2021 and featuring the latest in Go programming, has now been published. Key Features Second edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques Completes the Go developer?s education with real-world guides to building high-performance production systems Packed with practical examples and patterns to apply to your own development work Clearly explains Go nuances and features to remove the frustration from Go development Book DescriptionOften referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go?s capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques.What you will learn Clear guidance on using Go for production systems Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code A full guide to all Go data types, composite types, and data structures Master packages, reflection, and interfaces for effective Go programming Build high-performance systems networking code, including server and client-side applications Interface with other systems using WebAssembly, JSON, and gRPC Write reliable, high-performance concurrent code Build machine learning systems in Go, from simple statistical regression to complex neural networks Who this book is forMastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners.…

Paperback. Condición: Good. Put the power of AWS Cloud machine learning services to work in your business and commercial applications!  Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services. Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You?ll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you?ll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems. ?    Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building ?    Discover common neural network frameworks with Amazon SageMaker ?    Solve computer vision problems with Amazon Rekognition ?    Benefit from illustrations, source code examples, and sidebars in each chapter The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem.…

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