F# for C# DevelopersExtend your C# skills to F# - and create data-rich computational and parallel software components faster and more efficiently. Focusing on F# 3.0 and Microsoft Visual Studio 2012, you'll learn how to exploit F# features to solve both computationally-complex problems as well as everyday programming tasks.
Topics include: C# and F# data structures; F# for functional, object-oriented, and imperative programming; design patterns; type providers; and portable support for Windows 8. You'll examine real-world applications, including Windows 8-style HTML5 and JavaScript apps, along with cloud and service apps. You'll write your own type provider. And you'll see how to expand F# computation power to high-performance GPU computing. ...
Game AnalyticsDeveloping a successful game in today's market is a challenging endeavor. Thousands of titles are published yearly, all competing for players' time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels.
Game Analytics - is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. ...
iCloud for DevelopersYour app's users want their application data to be in sync as they switch from one device to another. Guided by iOS expert Cesare Rocchi, you'll start by learning how to configure an app and its resources for iCloud. Then, after a quick introduction to iCloud-supported data types, you'll work on using the simplest: key-value data.
Next, you'll find out how to get your document-based data (including media files), and even relational data working with iCloud. As you learn each new technique, you'll use it to synchronize yet another module of the book's sample app, Grocery, a simple shopping list that can be shared between two or more devices. ...
Implementing Microsoft Dynamics NAV 2013Microsoft Dynamics NAV 2013 is an Enterprise Resource Planning (ERP) application used in all kinds of organizations around the world. It provides a great variety of functionality out-of-the-box in different topics such as accounting, sales and purchases processing, logistics, or manufacturing. But it also allows companies to grow the application by customizing the solution to meet specific requirements.
Implementing Microsoft Dynamics NAV 2013 - explains all you need to know to successfully handle your first Dynamics NAV 2013 implementation. You will learn what the application can do out of the box, how you can extend it to meet any kind of requirements, and how to manage real implementation projects with real customers. ...
Learning RLearn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code. ...
Deep Belief Nets in C++ and CUDA C: Volume 2Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex-domain predictors that are suitable for input to a complex-domain autoencoder. Finally, you'll learn a method for embedding class information in the input layer of a restricted Boltzmann machine. This facilitates generative display of samples from individual classes rather than the entire data distribution. The ability to see the features that the model has learned for each class separately can be invaluable.
At each step this book provides you with intuitive motivation, a summary of the most important equations relevant to the topic, and highly commented code for threaded computatio ...
Java EE 8 RecipesQuickly find solutions to dozens of common programming problems with the Java Enterprise Edition Platform for small business web applications, enterprise database applications, and microservices solutions. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!
Java EE 8 Recipes provides you with effective and proven solutions that can be used to accomplish just about any task that you may encounter. You can feel confident using the reliable solutions that are demonstrated in this book in your personal or corporate environment.
Java is a mature programming language that has been refined over the years into a productive and lucrative language for those with the skills to wield it. One result of this years-long refining process is that that the language carries forward many older feature sets that no longer represent the best way of getting w ...
Veracity of Big DataExamine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology.
Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.
Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitter have played a major role in public life, including during presidential e ...
Practical Programming, 2nd EditionThis book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming.
You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types. ...
The Dream Team NightmareThis first-ever interactive Agile Adventure is the gripping tale of an experienced team struggling with agile adoption. In this unique mashup of a business novel written in the gamebook format, you'll overcome common yet daunting challenges that come from using agile methods. As Jim, the agile coach, you'll learn to apply a range of thinking tools and techniques to real-life problems faced by teams and organizations. Find out what really works and what fails miserably from the consequences of your choices. And, unlike in the real world, if at first you don't succeed, you can make different choices until you get things right. ...