Sprache: Englisch
Verlag: O'Reilly Media (edition 1), 2011
ISBN 10: 1449303145 ISBN 13: 9781449303143
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Zustand: New. To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on firsthand experience with these tools in a production environment. Num Pages: 60 pages, Illustrations, map. BIC Classification: UNA. Category: (XV) Technical / Manuals. Dimension: 233 x 182 x 4. Weight in Grams: 126. . 2011. Paperback. . . . . Books ship from the US and Ireland.
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In den WarenkorbZustand: New. To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on firsthand experie.
Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.This handy glossary also includes a chapter of key terms that help define many of these tool categories:\* NoSQL DatabasesDocument-oriented databases using a key/value interface rather than SQL\* MapReduceTools that support distributed computing on large datasets\* StorageTechnologies for storing data in a distributed way\* ServersWays to rent computing power on remote machines\* ProcessingTools for extracting valuable information from large datasets\* Natural Language ProcessingMethods for extracting information from human-created text\* Machine LearningTools that automatically perform data analyses, based on results of a one-off analysis\* VisualizationApplications that present meaningful data graphically\* AcquisitionTechniques for cleaning up messy public data sources\* SerializationMethods to convert data structure or object state into a storable format.
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Zustand: New. Über den AutorrnrnPete Warden is technical lead for mobile and embedded TensorFlow. He was CTO and founder of Jetpac, which was acquired by Google in 2014, and previously worked at Apple. He was a founding member of the TensorFlow t.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware.Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. No machine learning or microcontroller experience is necessary.Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detectionTrain models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platformsUnderstand how to work with Arduino and ultralow-power microcontrollersUse techniques for optimizing latency, energy usage, and model and binary size.
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Taschenbuch. Zustand: Neu. Tinyml | Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers | Pete Warden (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | O'Reilly Media | EAN 9781492052043 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.