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Machine Learning for Hackers
Machine Learning for Hackers

If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. ...
Machine Learning in Action
Machine Learning in Action

A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. ...
Natural Language Annotation for Machine Learning
Natural Language Annotation for Machine Learning

Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process. Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You'll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations. ...
MacRuby in Action
MacRuby in Action

MacRuby in Action is a tutorial for Ruby developers who want to code for Mac OS X without learning Objective-C. You'll learn the ins and outs of the MacRuby language, including straightforward examples of creating OS X applications using Cocoa components. MacRuby in Action teaches Ruby developers how to code OS X applications in Ruby. You'll explore key Cocoa design patterns, along with a few twists that MacRuby makes possible. You'll also pick up high-value techniques including system scripting, automated testing practices, and getting your apps ready for the Mac App Store. Written for Rubyists. No experience with Cocoa, Objective-C, or Mac OS X required. ...
Macintosh Terminal Pocket Guide
Macintosh Terminal Pocket Guide

Unlock the secrets of the Terminal and discover how this powerful tool solves problems the Finder can't handle. With this handy guide, you'll learn commands for a variety of tasks, such as killing programs that refuse to quit, renaming a large batch of files in seconds, or running jobs in the background while you do other work. Get started with an easy-to-understand overview of the Terminal and its partner, the shell. Then dive into commands neatly arranged into two dozen categories, including directory operations, file comparisons, and network connections. Each command includes a concise description of its purpose and features. ...
Sams Teach Yourself Core Data for Mac and iOS in 24 Hours, 2nd Edition
Sams Teach Yourself Core Data for Mac and iOS in 24 Hours, 2nd Edition

In just 24 sessions of one hour or less, start using Core Data to build powerful data-driven apps for iOS devices and Mac OS X computers! Using this book's straightforward, step-by-step approach, you'll discover how Apple's built-in data persistence framework can help you meet any data-related requirement, from casual to enterprise-class. Beginning with the absolute basics, you'll learn how to create data models, build interfaces, interact with users, work with data sources and table views. Every lesson builds on what you've already learned, giving you a rock-solid foundation for real-world success! ...
Switching to the Mac: The Missing Manual, Mountain Lion Edition
Switching to the Mac: The Missing Manual, Mountain Lion Edition

Ready to move to the Mac? This incomparable guide helps you make a smooth transition. New York Times columnist and Missing Manuals creator David Pogue gets you past three challenges: transferring your stuff, assembling Mac programs so you can do what you did with Windows, and learning your way around OS X. Learning to use a Mac is not a piece of cake, but once you do, the rewards are oh-so-much better. You won't find questionable firewalls or inefficient permissions. Just a beautiful machine with a thoroughly reliable system. Whether you're using Windows XP or Windows 7, we've got you covered. ...
Learning Core Audio
Learning Core Audio

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. ...
Learn Objective-C on the Mac For OS X and iOS, 2nd Edition
Learn Objective-C on the Mac For OS X and iOS, 2nd Edition

Learn to write apps for some of today's hottest technologies, including the iPhone and iPad (using iOS), as well as the Mac (using OS X). It starts with Objective-C, the base language on which the native iOS software development kit (SDK) and the OS X are based. Learn Objective-C on the Mac: For OS X and iOS, 2nd Edition updates a best selling book and is an extensive, newly updated guide to Objective-C. Objective-C is a powerful, object-oriented extension of C, making this update the perfect follow-up to Dave Mark's bestselling Learn C on the Mac. Whether you're an experienced C programmer or you're coming from a different language such as C++ or Java, leading Mac experts Scott Knaster and Waqar Malik show how to harness the power of Objective-C in your apps! ...
Mac Kung Fu, 2nd edition
Mac Kung Fu, 2nd edition

Mac Kung Fu: Second Edition will blow your mind with secret hacks never before made public and little-known tricks that will change the way you work forever. From big tasks through everyday jobs, this book will improve your productivity and refine your workflow. You'll customize and manage the OS X interface, boost the power of built-in apps, efficiently handle the filesystem, implement important security tricks, and much more. ...
Mac OS X and iOS Internals
Mac OS X and iOS Internals

Powering Macs, iPhones, iPads and more, OS X and iOS are becoming ubiquitous. When it comes to documentation, however, much of them are shrouded in mystery. Cocoa and Carbon, the application frameworks, are neatly described, but system programmers find the rest lacking. This indispensable guide illuminates the darkest corners of those systems, starting with an architectural overview, then drilling all the way to the core. ...
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