Learning Av Foundation

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Learning AV Foundation

Author : Bob McCune
Publisher : Pearson Education
ISBN 13 : 0321961803
Total Pages : 433 pages
Book Rating : 4.3/5 (219 download)

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Book Synopsis Learning AV Foundation by : Bob McCune

Download or read book Learning AV Foundation written by Bob McCune and published by Pearson Education. This book was released on 2014 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Until now, however, this meant wrestling with Apple's massive, out-of-date API documentation.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

Author : Bob McCune
Publisher : Addison-Wesley Professional
ISBN 13 : 0133563820
Total Pages : 433 pages
Book Rating : 4.1/5 (335 download)

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Book Synopsis Learning AV Foundation by : Bob McCune

Download or read book Learning AV Foundation written by Bob McCune and published by Addison-Wesley Professional. This book was released on 2014-10-24 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Erica Sadun
Publisher : Pearson Education
ISBN 13 : 0321948106
Total Pages : 671 pages
Book Rating : 4.3/5 (219 download)

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Book Synopsis The Core IOS Developer's Cookbook by : Erica Sadun

Download or read book The Core IOS Developer's Cookbook written by Erica Sadun and published by Pearson Education. This book was released on 2014 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Foundations of Data Science by : Avrim Blum

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measure What Matters

Author : John Doerr
Publisher : Penguin
ISBN 13 : 052553623X
Total Pages : 322 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Measure What Matters by : John Doerr

Download or read book Measure What Matters written by John Doerr and published by Penguin. This book was released on 2018-04-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: #1 New York Times Bestseller Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth—and how it can help any organization thrive. In the fall of 1999, John Doerr met with the founders of a start-up whom he'd just given $12.5 million, the biggest investment of his career. Larry Page and Sergey Brin had amazing technology, entrepreneurial energy, and sky-high ambitions, but no real business plan. For Google to change the world (or even to survive), Page and Brin had to learn how to make tough choices on priorities while keeping their team on track. They'd have to know when to pull the plug on losing propositions, to fail fast. And they needed timely, relevant data to track their progress—to measure what mattered. Doerr taught them about a proven approach to operating excellence: Objectives and Key Results. He had first discovered OKRs in the 1970s as an engineer at Intel, where the legendary Andy Grove ("the greatest manager of his or any era") drove the best-run company Doerr had ever seen. Later, as a venture capitalist, Doerr shared Grove's brainchild with more than fifty companies. Wherever the process was faithfully practiced, it worked. In this goal-setting system, objectives define what we seek to achieve; key results are how those top-priority goals will be attained with specific, measurable actions within a set time frame. Everyone's goals, from entry level to CEO, are transparent to the entire organization. The benefits are profound. OKRs surface an organization's most important work. They focus effort and foster coordination. They keep employees on track. They link objectives across silos to unify and strengthen the entire company. Along the way, OKRs enhance workplace satisfaction and boost retention. In Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that OKRs have spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.

Mathematics for Machine Learning

Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Cocoa with Objective-C

Author : Paris Buttfield-Addison
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491901799
Total Pages : 388 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Learning Cocoa with Objective-C by : Paris Buttfield-Addison

Download or read book Learning Cocoa with Objective-C written by Paris Buttfield-Addison and published by "O'Reilly Media, Inc.". This book was released on 2014-02-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, the fourth edition of 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 lifecycle 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

Learning Cocoa with Objective-C

Author : Jon Manning
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449318495
Total Pages : 361 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Learning Cocoa with Objective-C by : Jon Manning

Download or read book Learning Cocoa with Objective-C written by Jon Manning and published by "O'Reilly Media, Inc.". This book was released on 2012-12-24 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated book covers everything readers need to get started for developing Apple applications--from object-oriented programming to working with iCloud and Xcode Integrated Development.

The Rust Programming Language (Covers Rust 2018)

Author : Steve Klabnik
Publisher : No Starch Press
ISBN 13 : 1718500459
Total Pages : 561 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis The Rust Programming Language (Covers Rust 2018) by : Steve Klabnik

Download or read book The Rust Programming Language (Covers Rust 2018) written by Steve Klabnik and published by No Starch Press. This book was released on 2019-09-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.

Transforming the Workforce for Children Birth Through Age 8

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309324882
Total Pages : 587 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Transforming the Workforce for Children Birth Through Age 8 by : National Research Council

Download or read book Transforming the Workforce for Children Birth Through Age 8 written by National Research Council and published by National Academies Press. This book was released on 2015-07-23 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Statistical Learning

Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

A Framework for K-12 Science Education

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309214459
Total Pages : 400 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis A Framework for K-12 Science Education by : National Research Council

Download or read book A Framework for K-12 Science Education written by National Research Council and published by National Academies Press. This book was released on 2012-02-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to the Study of the Law of the Constitution

Author : A.V. Dicey
Publisher : Springer
ISBN 13 : 134917968X
Total Pages : 729 pages
Book Rating : 4.3/5 (491 download)

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Book Synopsis An Introduction to the Study of the Law of the Constitution by : A.V. Dicey

Download or read book An Introduction to the Study of the Law of the Constitution written by A.V. Dicey and published by Springer. This book was released on 1985-09-30 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: A starting point for the study of the English Constitution and comparative constitutional law, The Law of the Constitution elucidates the guiding principles of the modern constitution of England: the legislative sovereignty of Parliament, the rule of law, and the binding force of unwritten conventions.

The Future of Nursing

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309208955
Total Pages : 700 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis The Future of Nursing by : Institute of Medicine

Download or read book The Future of Nursing written by Institute of Medicine and published by National Academies Press. This book was released on 2011-02-08 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future of Nursing explores how nurses' roles, responsibilities, and education should change significantly to meet the increased demand for care that will be created by health care reform and to advance improvements in America's increasingly complex health system. At more than 3 million in number, nurses make up the single largest segment of the health care work force. They also spend the greatest amount of time in delivering patient care as a profession. Nurses therefore have valuable insights and unique abilities to contribute as partners with other health care professionals in improving the quality and safety of care as envisioned in the Affordable Care Act (ACA) enacted this year. Nurses should be fully engaged with other health professionals and assume leadership roles in redesigning care in the United States. To ensure its members are well-prepared, the profession should institute residency training for nurses, increase the percentage of nurses who attain a bachelor's degree to 80 percent by 2020, and double the number who pursue doctorates. Furthermore, regulatory and institutional obstacles-including limits on nurses' scope of practice-should be removed so that the health system can reap the full benefit of nurses' training, skills, and knowledge in patient care. In this book, the Institute of Medicine makes recommendations for an action-oriented blueprint for the future of nursing.

Fundamentals of Machine Learning for Predictive Data Analytics, second edition

Author : John D. Kelleher
Publisher : MIT Press
ISBN 13 : 0262361108
Total Pages : 853 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Fundamentals of Machine Learning for Predictive Data Analytics, second edition by : John D. Kelleher

Download or read book Fundamentals of Machine Learning for Predictive Data Analytics, second edition written by John D. Kelleher and published by MIT Press. This book was released on 2020-10-20 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.

Learning Core Audio

Author : Chris Adamson
Publisher : Addison-Wesley
ISBN 13 : 0321636961
Total Pages : 332 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Learning Core Audio by : Chris Adamson

Download or read book Learning Core Audio written by Chris Adamson and published by Addison-Wesley. This book was released on 2012-04-03 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Audio can affect the human brain in the most powerful and profound ways. Using Apple’s Core Audio, you can leverage all that power in your own Mac and iOS software, implementing features ranging from audio capture to real-time effects, MP3 playback to virtual instruments, web radio to VoIP support. The most sophisticated audio programming system ever created, Core Audio is not simple. In Learning Core Audio, top Mac programming author Chris Adamson and legendary Core Audio expert Kevin Avila fully explain this challenging framework, enabling experienced Mac or iOS programmers to make the most of it. In plain language, Adamson and Avila explain what Core Audio can do, how it works, and how it builds on the natural phenomena of sound and the human language of audio. Next, using crystal-clear code examples, they guide you through recording, playback, format conversion, Audio Units, 3D audio MIDI connectivity, and overcoming unique challenges of Core Audio programming for iOS. Coverage includes: mastering Core Audio’s surprising style and conventions; recording and playback with Audio Queue; synthesizing audio; perform effects on audio streams; capturing from the mic; mixing multiple streams; managing file streams; converting formats; creating 3D positional audio; using Core MIDI on the Mac; leveraging your Cocoa and Objective-C expertise in Core Audio’s C-based environment, and much more. When you’ve mastered the “black arts” of Core Audio, you can do some serious magic. This book will transform you from an acolyte into a true Core Audio wizard.

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Author : Stephen Boyd
Publisher : Now Publishers Inc
ISBN 13 : 160198460X
Total Pages : 138 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers by : Stephen Boyd

Download or read book Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.