9798265719652 - machine learning on mobile devices: a practical guide to tensorflow, core ml, and tensorflow lite di miles, dr. quinn (5 risultati)
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Unlock the Power of Machine Learning-Right on Your Mobile Device.
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Da: California Books, Miami, FL, U.S.A.California Books
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Paperback. Condizione: new. Paperback. Unlock the Power of Machine Learning-Right on Your Mobile DeviceAre you curious about artificial intelligence but feel intimidated by all the technical jargon? Have you dreamed of building smart apps for your phone but worry you need years of experience or a background in coding? You're not… alone-and you're exactly who this book was written for.Machine Learning on Mobile Devices: A Practical Guide to TensorFlow, Core ML, and TensorFlow Lite makes modern AI approachable, practical, and-above all-fun. Whether you're a complete beginner, a student, or a developer hoping to add cutting-edge skills to your toolkit, this step-by-step guide is your friendly, confidence-building companion.No Experience Needed-Just Curiosity!You don't need to be a math genius or seasoned programmer to get started. Inside, you'll discover a warm, accessible journey through the world of on-device machine learning, designed to encourage experimentation and celebrate every milestone-no matter how small.What You'll Gain: Practical Skills: Learn how to build, optimize, and deploy real machine learning models on Android and iOS using TensorFlow Lite and Core ML.Step-by-Step Guidance: Clear, hands-on tutorials walk you through every process, from your very first neural network to advanced deployment strategies.Real-World Applications: Explore image recognition, voice processing, translation, and more-directly on your phone or tablet.Expert Insights Made Simple: Technical terms and concepts are broken down in plain English, so you never feel lost or overwhelmed.Beginner-Friendly Approach: Mistakes are normalized and small victories are celebrated-because every great coder started somewhere.Key Features: Understand the fundamentals of machine learning without getting buried in theory.Gain confidence working with TensorFlow Lite, Core ML, and real mobile AI projects.Build your own apps that work offline, protect privacy, and deliver instant results.Tackle troubleshooting, model optimization, and deployment with clear, concise solutions.Who Is This Book For?Beginners with zero technical backgroundStudents exploring data science, AI, or app developmentDevelopers looking to bring smart features to mobile appsAnyone eager to learn by doing-at their own paceTake the Leap-Your Mobile AI Journey Starts Here!Stop letting fear or self-doubt hold you back from learning the technology shaping our future. With this book by your side, you'll discover that machine learning on mobile devices is not just possible-it's rewarding, empowering, and within your reach.Start building the future in your pocket-one project at a time. begin your hands-on AI adventure today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. Unlock the Power of Machine Learning-Right on Your Mobile DeviceAre you curious about artificial intelligence but feel intimidated by all the technical jargon? Have you dreamed of building smart apps for your phone but worry you need years of experience or a background in coding? You're not… alone-and you're exactly who this book was written for.Machine Learning on Mobile Devices: A Practical Guide to TensorFlow, Core ML, and TensorFlow Lite makes modern AI approachable, practical, and-above all-fun. Whether you're a complete beginner, a student, or a developer hoping to add cutting-edge skills to your toolkit, this step-by-step guide is your friendly, confidence-building companion.No Experience Needed-Just Curiosity!You don't need to be a math genius or seasoned programmer to get started. Inside, you'll discover a warm, accessible journey through the world of on-device machine learning, designed to encourage experimentation and celebrate every milestone-no matter how small.What You'll Gain: Practical Skills: Learn how to build, optimize, and deploy real machine learning models on Android and iOS using TensorFlow Lite and Core ML.Step-by-Step Guidance: Clear, hands-on tutorials walk you through every process, from your very first neural network to advanced deployment strategies.Real-World Applications: Explore image recognition, voice processing, translation, and more-directly on your phone or tablet.Expert Insights Made Simple: Technical terms and concepts are broken down in plain English, so you never feel lost or overwhelmed.Beginner-Friendly Approach: Mistakes are normalized and small victories are celebrated-because every great coder started somewhere.Key Features: Understand the fundamentals of machine learning without getting buried in theory.Gain confidence working with TensorFlow Lite, Core ML, and real mobile AI projects.Build your own apps that work offline, protect privacy, and deliver instant results.Tackle troubleshooting, model optimization, and deployment with clear, concise solutions.Who Is This Book For?Beginners with zero technical backgroundStudents exploring data science, AI, or app developmentDevelopers looking to bring smart features to mobile appsAnyone eager to learn by doing-at their own paceTake the Leap-Your Mobile AI Journey Starts Here!Stop letting fear or self-doubt hold you back from learning the technology shaping our future. With this book by your side, you'll discover that machine learning on mobile devices is not just possible-it's rewarding, empowering, and within your reach.Start building the future in your pocket-one project at a time. begin your hands-on AI adventure today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
