Legal Issues of Mobile Apps

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Release : 2020-05-12
Genre : Law
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Book Rating : 437/5 ( reviews)

Legal Issues of Mobile Apps - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Legal Issues of Mobile Apps write by Ioannis Iglezakis. This book was released on 2020-05-12. Legal Issues of Mobile Apps available in PDF, EPUB and Kindle. In less than ten years touchscreen smartphones and their apps have created an unprecedented technological revolution. Yet they are rife with serious potential for breaches of privacy and security, and a lack of uniform rules makes navigation of the legal landscape extremely difficult. Addressing this unstable regulatory environment, this concise, practical guide for the first time provides a measure of legal certainty. It examines case law and legislation in Europe and the United States to highlight the rights and obligations of all actors involved in the marketing of mobile apps, bring to light essential principles and recommend some viable solutions. Nine experts, all versed in the latest developments in international and national laws and regulations affecting digital mobile technology, examine such key topics as the following: contract law as applied to the sale and use of smartphone apps; intellectual property rights in mobile apps; protection of users; data protection; European Union (EU) medical device legislation and its safety implications for app users; fitness or wellness apps; apps’ collection of personal data; apps as hostile code and malware delivery mechanisms; competition law issues; taxation of mobile apps; liability issues for app developers and distributors; and implications of the EU’s new regulatory framework on online platforms. Because it is difficult for a basic user to understand how vulnerable everyday apps can be, and because every new information technology platform delivers new risks along with its benefits, legal practitioners working in a wide variety of fields will be increasingly called upon to engage with both personal and enterprise security and privacy breach cases arising from the use of mobile apps. This deeply informed practical analysis goes a long way toward ensuring appropriate handling of legal issues which arise in the mobile app context. Every practitioner, government official and software developer will welcome this much-needed volume.

Mobile Applications

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Release : 2004
Genre : Computers
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Book Rating : /5 ( reviews)

Mobile Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mobile Applications write by Valentino Lee. This book was released on 2004. Mobile Applications available in PDF, EPUB and Kindle. Spending on worldwide wireless and mobile network infrastructure will rise by $10.7 billion between 2002 and 2007. In this new resource, the authors provide technology-independent principles and practices that no mobile application developer should be without. This book illustrates specific details of mobile technologies and includes mobile application case studies.

Building Mobile Apps at Scale

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Release : 2021-04-06
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Book Rating : 868/5 ( reviews)

Building Mobile Apps at Scale - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Building Mobile Apps at Scale write by Gergely Orosz. This book was released on 2021-04-06. Building Mobile Apps at Scale available in PDF, EPUB and Kindle. While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?

Mobile Design Pattern Gallery

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Release : 2012-03-06
Genre : Computers
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Book Rating : 924/5 ( reviews)

Mobile Design Pattern Gallery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mobile Design Pattern Gallery write by Theresa Neil. This book was released on 2012-03-06. Mobile Design Pattern Gallery available in PDF, EPUB and Kindle. When you’re under pressure to produce a well designed, easy-to-navigate mobile app, there’s no time to reinvent the wheel. This concise book provides a handy reference to 70 mobile app design patterns, illustrated by more than 400 screenshots from current iOS, Android, BlackBerry, WebOS, Windows Mobile, and Symbian apps. User experience professional Theresa Neil (Designing Web Interfaces) walks you through design patterns in 10 separate categories, including anti-patterns. Whether you’re designing a simple iPhone application or one that’s meant to work for every popular mobile OS on the market, these patterns provide solutions to common design challenges. This print edition is in full color. Pattern categories include: Navigation: get patterns for primary and secondary navigation Forms: break the industry-wide habits of bad form design Tables and lists: display only the most important information Search, sort, and filter: make these functions easy to use Tools: create the illusion of direct interaction Charts: learn best practices for basic chart design Invitations: invite users to get started and discover features Help: integrate help pages into a smaller form factor "It’s a super handy catalog that I can flip to for ideas." —Bill Scott, Senior Director of Web Development at PayPal "Looks fantastic." —Erin Malone, Partner at Tangible UX "Just a quick thanks to express my sheer gratitude for this pub, it has been a guide for me reworking a design for an app already in production!" —Agatha June, UX designer

Machine Learning Projects for Mobile Applications

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Release : 2018-10-31
Genre : Computers
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Book Rating : 464/5 ( reviews)

Machine Learning Projects for Mobile Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Projects for Mobile Applications write by Karthikeyan NG. This book was released on 2018-10-31. Machine Learning Projects for Mobile Applications available in PDF, EPUB and Kindle. Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.