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Learning AV Foundation

Learning AV Foundation
Author: Bob McCune
Publisher: Pearson Education
Total Pages: 433
Release: 2014
Genre: Computers
ISBN: 0321961803
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The massive success of apps like Instagram, iMovie, and Vine proves that users want tools to help them capture, edit, and share their lives. If you want to build those apps for iOS or OS X, you need to understand Apple's most powerful media framework: AV Foundation. Until now, however, this meant wrestling with Apple's massive, out-of-date API documentation. Now, there's a more productive and efficient alternative. Learning AV Foundation helps you gain real-world mastery by teaching each aspect of the framework in the context of building real world applications. By the time you finish, you'll have built a voice memo app, custom video player, video editor, and an image and video camera app -- and you'll have mastered all the techniques you need to write your own advanced media apps with AV Foundation. Most chapters contain additional optional exercises, to help you further deepen your understanding. Learning AV Foundation comes with a complete collection of starter apps that abstract away visual aspects, so you can focus solely on AV Foundation without getting bogged down in supporting infrastructure. Coverage includes: Understanding the AV Foundation media environment ; Basic techniques for working with media: playback, recording, and more ; Basic and advanced media capture ; Media creation and editing: composing media, mixing audio, creating video transitions, and layering animated content ; Advanced topics, including real-time audio and video effects ; Integrating AV Foundation with Core Audio.

Learning AV Foundation

Learning AV Foundation
Author: Bob McCune
Publisher: Addison-Wesley Professional
Total Pages: 433
Release: 2014-10-24
Genre: Computers
ISBN: 0133563820
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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

The Core IOS Developer's Cookbook

The Core IOS Developer's Cookbook
Author: Erica Sadun
Publisher: Pearson Education
Total Pages: 671
Release: 2014
Genre: Computers
ISBN: 0321948106
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This title brings together reliable, proven solutions for the heart of day-to-day iOS 7 development. World-renowned iOS programming expert Erica Sadun covers all the classes you'll need to create successful iOS 7 mobile apps with standard APIs and interface elements and take full advantage of iOS 7 graphics, touches and views.

Foundations of Data Science

Foundations of Data Science
Author: Avrim Blum
Publisher: Cambridge University Press
Total Pages: 433
Release: 2020-01-23
Genre: Computers
ISBN: 1108617360
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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.

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323
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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.

Deep Learning

Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
Total Pages: 801
Release: 2016-11-10
Genre: Computers
ISBN: 0262337371
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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.

Machine Learning Refined

Machine Learning Refined
Author: Jeremy Watt
Publisher: Cambridge University Press
Total Pages: 597
Release: 2020-01-09
Genre: Computers
ISBN: 1108480721
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An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

A Framework for K-12 Science Education

A Framework for K-12 Science Education
Author: National Research Council
Publisher: National Academies Press
Total Pages: 400
Release: 2012-02-28
Genre: Education
ISBN: 0309214459
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Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.

Transforming the Workforce for Children Birth Through Age 8

Transforming the Workforce for Children Birth Through Age 8
Author: National Research Council
Publisher: National Academies Press
Total Pages: 587
Release: 2015-07-23
Genre: Social Science
ISBN: 0309324882
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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.

Youth, Identity, and Digital Media

Youth, Identity, and Digital Media
Author: David Buckingham
Publisher: MIT Press
Total Pages: 217
Release: 2007-11-30
Genre: Education
ISBN: 026252483X
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Contributors discuss how growing up in a world saturated with digital media affects the development of young people's individual and social identities. As young people today grow up in a world saturated with digital media, how does it affect their sense of self and others? As they define and redefine their identities through engagements with technology, what are the implications for their experiences as learners, citizens, consumers, and family and community members? This addresses the consequences of digital media use for young people's individual and social identities. The contributors explore how young people use digital media to share ideas and creativity and to participate in networks that are small and large, local and global, intimate and anonymous. They look at the emergence of new genres and forms, from SMS and instant messaging to home pages, blogs, and social networking sites. They discuss such topics as “girl power” online, the generational digital divide, young people and mobile communication, and the appeal of the “digital publics” of MySpace, considering whether these media offer young people genuinely new forms of engagement, interaction, and communication. Contributors Angela Booker, danah boyd, Kirsten Drotner, Shelley Goldman, Susan C. Herring, Meghan McDermott, Claudia Mitchell, Gitte Stald, Susannah Stern, Sandra Weber, Rebekah Willett