Computer Vision Maker Tech by Manganiello Fabio (21 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.Lakeside Books
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£ 33.39
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 38.29
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- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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£ 41.17
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- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2021. Paperback. . . . . .
- Softcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condition: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 42.34
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 51.98
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Paperback. Condition: Brand New. 234 pages. 9.00x6.00x0.75 inches. In Stock.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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£ 59.62
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Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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£ 53.00
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 55.92
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Condition: New. In.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 77.10
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Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 52.28
£ 59.82 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Computer Vision with Maker Tech | Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning | Fabio Manganiello | Taschenbuch | xiii | Englisch | 2021 | Apress | EAN 9781484268209 | 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.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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£ 44.22
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Condition: new. Questo è un articolo print on demand.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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£ 56.50
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to prog…ram and assemble a voice-controlled security.You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable.With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc.Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice.What You'll LearnDevelop a voice assistant to control your IoT devicesImplement Computer Vision to detect changes in an environmentGo beyond simple projects to also gain a grounding machine learning in generalSee how IoT can become 'smarter' with the inception of machine learning techniquesBuild machine learning models using TensorFlow and OpenCVWho This Book Is ForMakers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts. 248 pp. Englisch.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 77.53
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Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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£ 46.10
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Harness the power of machine learning for IoT applicationsBuild a Computer Vision system with low-cost Maker hardwareGain a foothold in the advancing realm of machine learningFabio Manganiello is a 15 year veteran in…machine learnin.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 81.77
£ 8.50 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 56.50
£ 51.27 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program…and assemble a voice-controlled security.You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable.With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc. Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice.What You'll LearnDevelop a voice assistant to control your IoT devicesImplement Computer Vision to detect changes in an environmentGo beyond simple projects to also gain a grounding machine learning in generalSee how IoT can become 'smarter' with the inception of machine learning techniquesBuild machine learning models using TensorFlow and OpenCVSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 57.18
£ 52.91 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program a…nd assemble a voice-controlled security.You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable.With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc.Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice.What You'll LearnDevelop a voice assistant to control your IoT devicesImplement Computer Vision to detect changes in an environmentGo beyond simple projects to also gain a grounding machine learning in generalSee how IoT can become 'smarter' with the inception of machine learning techniquesBuild machine learning models using TensorFlow and OpenCVWho This Book Is ForMakers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts.
