Appcelerator Titanium Smartphone App Development Cookbook. Over 100 recipes to help you develop cross-platform, native applications in JavaScript

Boydlee Pollentine, Jason Kneen, Jason Kneen

This book will take you through the process of building cross-platform, native UI applications for the mobile from scratch. You will learn how to develop apps, how to use GPS, cameras and photos and how to build socially connected apps. You will also learn how to package them for submission to the App Store and Google Play.This cookbook takes a pragmatic approach to creating applications in JavaScript from putting together basic UIs, to handling events and implementation of third party services such as Twitter, Facebook and Push notifications. The book shows you how to integrate datasources and server APIs, and how to use local databases. The topics covered will guide you to use Appcelerator Studio tools for all the mobile features such as Geolocation, Accelerometer, animation and more. You’ll also learn about Alloy, the Appcelerator MVC framework for rapid app development, and how to transfer data between applications using URLSchemes, enabling other developers to access and launch specific parts of your app.Finally, you will learn how to register developer accounts and publish your very own applications on the App Store and Google Play.

Unreal Engine Physics Essentials. Gain practical knowledge of mathematical and physics concepts in order to design and develop an awesome game world using Unreal Engine 4

Devin Sherry, Vladimir Alyamkin, Katax Emperore

This book gives readers practical insight into the mathematical and physics principles necessary to properly implement physics within Unreal Engine 4.Discover how to manipulate physics within Unreal Engine 4 by learning basic real-world mathematical and physics concepts that assist in the implementation of physics-based objects in your game world. Then, you'll be introduced to PhAT (Physics Asset Tool) within Unreal Engine 4 to learn more about developing game physics objects for your game world.Next, dive into Unreal Engine 4’s collision generation, physical materials, blueprints, constraints, and more to get hands-on experience with the tools provided by Epic to create real-world physics in Unreal Engine 4. Lastly, you will create a working Vehicle Blueprint that uses all the concepts covered in this book, as well as covering advanced physics-based topics.

Microsoft Dynamics AX 2012 R2 Services. Using Microsoft Dynamics AX to create and run your own services is made plain sailing with this in-depth tutorial. Covering everything from document services to building customized services and batch processing, it’s the complete guide

Saelen Kenny, Klaas Deforche

A Handbook of Mathematical Models with Python. Elevate your machine learning projects with NetworkX, PuLP, and linalg

Dr. Ranja Sarkar

Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare.Through this book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you’ll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning.Ultimately, you’ll be able to apply everything you’ve learned to choose the most fitting methodologies for the business problems you encounter.

Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data

Simon Walkowiak

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.

OpenGL 4.0 Shading Language Cookbook. With over 60 recipes, this Cookbook will teach you both the elementary and finer points of the OpenGL Shading Language, and get you familiar with the specific features of GLSL 4.0. A totally practical, hands-on guide

David Wolff, OpenGL

The OpenGL Shading Language (GLSL) is a programming language used for customizing parts of the OpenGL graphics pipeline that were formerly fixed-function, and are executed directly on the GPU. It provides programmers with unprecedented flexibility for implementing effects and optimizations utilizing the power of modern GPUs. With version 4.0, the language has been further refined to provide programmers with greater flexibility, and additional features have been added such as an entirely new stage called the tessellation shader.The OpenGL Shading Language 4.0 Cookbook provides easy-to-follow examples that first walk you through the theory and background behind each technique then go on to provide and explain the GLSL and OpenGL code needed to implement it. Beginning level through to advanced techniques are presented including topics such as texturing, screen-space techniques, lighting, shading, tessellation shaders, geometry shaders, and shadows.The OpenGL Shading Language 4.0 Cookbook is a practical guide that takes you from the basics of programming with GLSL 4.0 and OpenGL 4.0, through basic lighting and shading techniques, to more advanced techniques and effects. It presents techniques for producing basic lighting and shading effects; examples that demonstrate how to make use of textures for a wide variety of effects and as part of other techniques; examples of screen-space techniques, shadowing, tessellation and geometry shaders, noise, and animation.The OpenGL Shading Language 4.0 Cookbook provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer graphics applications.

Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights

Oliver Theobald

With an introductory overview, the course prepares you for a deep dive into the practical application of Scikit-Learn and the datasets that bring theories to life. From the basics of machine learning to the intricate details of setting up a sandbox environment, this course covers the essential groundwork for any aspiring data scientist.The course focuses on developing your skills in working with data, implementing data reduction techniques, and understanding the intricacies of item-based and user-based collaborative filtering, along with content-based filtering. These core methodologies are crucial for creating accurate and efficient recommender systems that cater to the unique preferences of users. Practical examples and evaluations further solidify your learning, making complex concepts accessible and manageable.The course wraps up by addressing the critical topics of privacy, ethics in machine learning, and the exciting future of recommender systems. This holistic approach ensures that you not only gain technical proficiency but also consider the broader implications of your work in this field. With a final look at further resources, your journey into machine learning and recommender systems is just beginning, armed with the knowledge and tools to explore new horizons.

Scoring to Picture in Logic Pro. Explore synchronization techniques for film, TV, and multimedia composers using Apple's flagship DAW

Prof. Chris Piorkowski, David K. Schmal, Luciano Saber, Michael M. Conti

This book will help you leverage the Logic Pro digital audio workstation (DAW) for scoring to picture. With the help of expert insights from a Hollywood film composer, you'll understand how the film music industry works and be ready to meet the demands of film directors or producers, exploring common scenarios and the process of post-production and final film score delivery. Packed with all the technical and practical skills needed when scoring to picture in Logic Pro, along with insights into real film scoring tasks, this book will prepare you for success in the industry.You’ll start by getting acquainted with film scoring terminology and then advance to working with QuickTime video and its components, getting an overview of how to set up and sync a movie file in Logic Pro. You’ll see the different methods of creating tempo maps, find a suitable tempo for a film scene using hit points and scene markers, and work with time signature and beat mapping functions. You’ll also work with a pre-composed score of a Mercedes commercial that you can analyze and emulate in your own Logic Pro session.By the end of this book, you’ll have gained new skills and the knowledge of commonly used industry scenarios to help you enter the professional market of scoring to picture.