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Author: Bob McCune Publisher: Addison-Wesley Professional ISBN: 0133563820 Category : Computers Languages : en Pages : 433
Book Description
AV Foundation for iOS and OS X® Programming—Get Started Fast! If you develop media-rich iOS or OS X apps, you can do amazing things with Apple’s AV Foundation. However, the framework is extremely large, reliant on cutting-edge language features, and poorly documented. Now, there’s a more productive way to master these immensely powerful technologies: Bob McCune’s Learning AV Foundation. McCune’s live presentations and GitHub projects have already helped thousands of Apple developers get started with AV Foundation. Building on his experience, McCune helps you gain true mastery by creating real-world apps, hands-on. You’ll build a voice memo app, custom video player, video editor, and an image/video camera app. As you proceed, you’ll master all the techniques you need to write your own advanced media apps from scratch. Throughout, McCune provides carefully crafted challenges and complete starter apps—all designed to help you deepen your understanding and make the most of Apple’s breakthrough media framework. COVERAGE INCLUDES Understanding how AV Foundation fits in Apple’s media environment and each of its key areas of functionality Enabling your apps with audio playback and recording features Enhancing video playback to deliver a richer, more dynamic experience Using AV Kit to match your user interfaces with iOS Videos or OS X QuickTime Player Developing media capture apps with real-time video processing using OpenGL ES and Core Image Implementing custom video players Integrating advanced capture features such as video zooming, face detection, barcode scanning, and high frame rate capture Mixing multiple audio tracks and automating volume control Building sophisticated non-linear, non-destructive editing apps Adding advanced video editing capabilities, such as video transitions and animation effects
Author: Bob McCune Publisher: Addison-Wesley Professional ISBN: 0133563820 Category : Computers Languages : en Pages : 433
Book Description
AV Foundation for iOS and OS X® Programming—Get Started Fast! If you develop media-rich iOS or OS X apps, you can do amazing things with Apple’s AV Foundation. However, the framework is extremely large, reliant on cutting-edge language features, and poorly documented. Now, there’s a more productive way to master these immensely powerful technologies: Bob McCune’s Learning AV Foundation. McCune’s live presentations and GitHub projects have already helped thousands of Apple developers get started with AV Foundation. Building on his experience, McCune helps you gain true mastery by creating real-world apps, hands-on. You’ll build a voice memo app, custom video player, video editor, and an image/video camera app. As you proceed, you’ll master all the techniques you need to write your own advanced media apps from scratch. Throughout, McCune provides carefully crafted challenges and complete starter apps—all designed to help you deepen your understanding and make the most of Apple’s breakthrough media framework. COVERAGE INCLUDES Understanding how AV Foundation fits in Apple’s media environment and each of its key areas of functionality Enabling your apps with audio playback and recording features Enhancing video playback to deliver a richer, more dynamic experience Using AV Kit to match your user interfaces with iOS Videos or OS X QuickTime Player Developing media capture apps with real-time video processing using OpenGL ES and Core Image Implementing custom video players Integrating advanced capture features such as video zooming, face detection, barcode scanning, and high frame rate capture Mixing multiple audio tracks and automating volume control Building sophisticated non-linear, non-destructive editing apps Adding advanced video editing capabilities, such as video transitions and animation effects
Author: Paris Buttfield-Addison Publisher: "O'Reilly Media, Inc." ISBN: 1449363415 Category : Computers Languages : en Pages : 361
Book Description
Get up to speed on Cocoa and Objective-C, and start developing applications on the iOS and OS X platforms. If you don’t have experience with Apple’s developer tools, no problem! From object-oriented programming to storing app data in iCloud, this book covers everything you need to build apps for the iPhone, iPad, and Mac. You’ll learn how to work with the Xcode IDE, Objective-C’s Foundation library, and other developer tools such as Event Kit framework and Core Animation. Along the way, you’ll build example projects, including a simple Objective-C application, a custom view, a simple video player application, and an app that displays calendar events for the user. Learn the application life cycle on OS X and iOS Work with the user-interface system in Cocoa and Cocoa Touch Use AV Foundation to display video and audio Build apps that let users create, edit, and work with documents Store data locally with the file system, or on the network with iCloud Display lists or collections of data with table views and collection views Interact with the outside world with Core Location and Core Motion Use blocks and operation queues for multiprocessing
Author: Henry Jenkins Publisher: MIT Press ISBN: 0262513625 Category : Technology & Engineering Languages : en Pages : 146
Book Description
Many teens today who use the Internet are actively involved in participatory cultures—joining online communities (Facebook, message boards, game clans), producing creative work in new forms (digital sampling, modding, fan videomaking, fan fiction), working in teams to complete tasks and develop new knowledge (as in Wikipedia), and shaping the flow of media (as in blogging or podcasting). A growing body of scholarship suggests potential benefits of these activities, including opportunities for peer-to-peer learning, development of skills useful in the modern workplace, and a more empowered conception of citizenship. Some argue that young people pick up these key skills and competencies on their own by interacting with popular culture; but the problems of unequal access, lack of media transparency, and the breakdown of traditional forms of socialization and professional training suggest a role for policy and pedagogical intervention. This report aims to shift the conversation about the "digital divide" from questions about access to technology to questions about access to opportunities for involvement in participatory culture and how to provide all young people with the chance to develop the cultural competencies and social skills needed. Fostering these skills, the authors argue, requires a systemic approach to media education; schools, afterschool programs, and parents all have distinctive roles to play. The John D. and Catherine T. MacArthur Foundation Reports on Digital Media and Learning
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Avrim Blum Publisher: Cambridge University Press ISBN: 1108617360 Category : Computers Languages : en Pages : 433
Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Patrick Alessi Publisher: John Wiley & Sons ISBN: 1118107322 Category : Computers Languages : en Pages : 434
Book Description
Covers the fundamentals of iOS game development, with information on such topics as Xcode, Objective-C, Cocoa, user interaction, animation, audio apps, and networking.
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Matt Neuburg Publisher: "O'Reilly Media, Inc." ISBN: 1491999179 Category : Computers Languages : en Pages : 1772
Book Description
If you’re grounded in the basics of Swift, Xcode, and the Cocoa framework, this book provides a structured explanation of all essential real-world iOS app components. Through deep exploration and copious code examples, you’ll learn how to create views, manipulate view controllers, and add features from iOS frameworks. Create, arrange, draw, layer, and animate views that respond to touch Use view controllers to manage multiple screens of interface Master interface classes for scroll views, table views, text, popovers, split views, web views, and controls Dive into frameworks for sound, video, maps, and sensors Access user libraries: music, photos, contacts, and calendar Explore additional topics, including files, networking, and threads Stay up-to-date on iOS 11 innovations, such as: Drag and drop Autolayout changes (including the new safe area) Stretchable navigation bars Table cell swipe buttons Dynamic type improvements Offline sound file rendering, image picker controller changes, new map annotation types, and more All example code (now rewritten in Swift 4) is available on GitHub for you to download, study, and run. Want to brush up on the basics? Pick up iOS 11 Programming Fundamentals with Swift to learn about Swift, Xcode, and Cocoa. Together with Programming iOS 11, you’ll gain a solid, rigorous, and practical understanding of iOS 11 development.
Author: National Research Council Publisher: National Academies Press ISBN: 0309324882 Category : Social Science Languages : en Pages : 587
Book Description
Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children.
Author: Bob McCune
Author: Bob McCune
Author: Paris Buttfield-Addison
Author: Henry Jenkins
Author: Marc Peter Deisenroth
Author: Learning about Learning Educational Foundation
Author: Avrim Blum
Author: Patrick Alessi
Author: Ian Goodfellow
Author: Matt Neuburg
Author: National Research Council