Название: Coding Activities for Developing Games in Unity
Автор: Joshua Romphf
Издательство: Rosen Publishing
Серия: Code Creator
Год: 2022
Страниц: 79
Язык: английский
Формат: pdf, epub (true)
Размер: 10.2 MB

Used by blockbuster game studios, indie developers, and computer science educators, the Unity Game Engine is one of the world's most popular tools for creating real-time interactive graphics. This volume provides an accessible introduction to the expansive Unity ecosystem through a series of unique activities that illustrate some of the important concepts of game development and real-time graphics programming. In a computer-driven world, these coding skills are useful for not just game development, but also contribute to core computer literacy. It would be impossible to cover everything Unity has to offer—let alone make a fleshed out game—in a few activities. However, these projects will give you all of the pieces you need to begin building interactive experiences of your own. Since Unity has excellent documentation and a very active community, it is possible to find a tremendous amount of resources. In other words, this book will be a great stepping stone for you to develop your programming skills in general and your Unity skills in particular.

Название: Coding Activities for Developing Music with Sonic Pi
Автор: Cathleen Small
Издательство: Rosen Publishing
Серия: Code Creator
Год: 2022
Страниц: 68
Язык: английский
Формат: pdf, epub (true)
Размер: 10.2 MB

Sonic Pi is free to use. The idea behind the software is that it uses music development to teach basic computing concepts. Not only does this allow users to combine musical creativity with some simple instruction on coding, but it also introduces aspiring coders to an easy-to-use language that will provide a solid foundation of knowledge if they go on to learn more complex coding languages. Sonic Pi touts itself as being powerful enough for professional musicians, but simple enough for new coders to learn. The programming language used is Ruby, but Sonic Pi is the integrated development environment (IDE) that uses Ruby syntax to produce music. Ruby is an object-oriented programming language that was first developed in the 1990s.

Название: Raspberry Pi Cookbook: Software and Hardware Problems and Solutions, 4th Edition (Fourth Early Release)
Автор: Dr. Simon Monk
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Страниц: 610
Язык: английский
Формат: epub
Размер: 43.5 MB

If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi. Although many languages can be used to program the Raspberry Pi, Python is the most popular. In fact, the Pi in Raspberry Pi is inspired by the word python. Although Python’s most recent version, Python 3, has been around for years, you’ll find that a lot of people still use Python 2. Python 3 (the default for Raspberry Pi OS) is run by using either of the commands python or Python 3. The examples in this book are written for Python 3 unless otherwise stated.

Название: Object Oriented Modeling and Design Using UML, 2nd Edition
Автор: Ajit Singh, Anamika
Издательство: Independently published
Год: 2022
Страниц: 220
Язык: английский
Формат: epub
Размер: 10.2 MB

This book starts with requirements gathering & ends with implementation. In the process, you'll learn how to analyze and design classes, their relationships to each other in order to build a model of the problem domain. You'll also use common UML diagrams throughout this process, such as use-case, class, activity & other diagrams. This book is also suitable for use in postgraduate and graduate courses as well as in professional seminars and individual study. Because it deals primarily with a method of software development, it is most appropriate for courses in software engineering and as a supplement to courses involving specific object-oriented programming languages. The Unified Modeling Language™ (UML) is inherently object-oriented modeling language and was designed for use in object-oriented software applications. The applications could be based on the object-oriented technologies recommended by the Object Management Group (OMG), which owns the UML.

Название: Federated Learning Over Wireless Edge Networks
Автор: Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong
Издательство: Springer
Год: 2022
Страниц: 175
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and Machine Learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. The confluence of edge computing and Artificial Intelligence (AI) has driven the rise of edge intelligence, which leverages the storage, communication, and computation capabilities of end devices and edge servers to empower AI implementation at scale closer to where data is generated. An enabling technology of edge intelligence is the privacy-preserving Machine Learning (ML) paradigm known as Federated Learning (FL).

Название: Improving Classifier Generalization: Real-Time Machine Learning based Applications
Автор: Rahul Kumar Sevakula, Nishchal K. Verma
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 181
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce Deep Learning (DL) in Fuzzy Rule based classifiers (FRCs). This monograph begins with the fundamentals of classifiers, bias-variance tradeoff, statistical learning theory (SLT), probably approximate correct (PAC) framework, maximum margin classifiers, and popular methods which improve generalization like regularization, boosting, transfer learning, dropout in Deep Learning, etc. Furthermore, the monograph solves four independent problems that have great relevance for certain real-time applications.

Название: AI powered Search (MEAP V13)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2022
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 33.2 MB

AI-Powered Search teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search.

Название: Ensemble Methods for Machine Learning (MEAP 6)
Автор: Gautam Kunapuli
Издательство: Manning Publications
Год: 2022
Страниц: 320
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

In Ensemble Methods for Machine Learning you'll learn to implement the most important ensemble machine learning methods from scratch. Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results.

Название: A Functional Approach to Java: Augmenting Object-Oriented Code with Functional Principles (Fifth Early Release)
Автор: Ben Weidig
Издательство: O’Reilly Media, Inc.
Год: 2022-09-29
Страниц: 176
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.3 MB

Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. This book is for you if you are curious about functional programming and want to know what all the fuss is about and apply it to your Java code. You might already be using some functional Java types but desire a more profound knowledge of why and how to apply them more effectively. There is no need to be an expert on OOP, but the book is not a beginner’s guide to Java or OOP. You should already be familiar with the Java standard library. No prior knowledge of functional programming is required. Every concept is introduced with an explanation and examples. The book covers Java 17 as the latest Long-Term-Support (LTS) version available at publication. But knowing that many developers need to support projects with earlier versions, the baseline will be the previous LTS, Java 11.

Название: Face Analysis Under Uncontrolled Conditions: From Face Detection to Expression Recognition
Автор: Romain Belmonte, Benjamin Allaert
Издательство: Wiley-ISTE
Год: 2022
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 38.6 MB

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.Identifying the facial structure is trivial for humans. From the perspective of an algorithm, an image is represented by an array of pixels. From these pixels, the aim is to provide enough abstraction to reach a semantic level that allows facial landmarks to be retrieved. However, it is difficult for an algorithm to have this kind of high level of understanding. To overcome this semantic gap, two solutions have been proposed. The first one, the traditional approach, uses domain-specific knowledge to transform raw data into features (i.e. feature engineering). These features provide useful input for the prediction task, performed by Machine Learning (ML) algorithms.