Java Virtual Machine

The International Handbook of Virtual Learning Environments was developed to explore Virtual Learning Environments (VLE’s), and their relationships with digital, in real life and virtual worlds. The b

"I was fortunate indeed to have worked with a fantastic team on the design and implementation of the concurrency features added to the Java platform in Java 5.0 and Java 6. Now this same team provides

"This encyclopedia of virtual communities and technologies provides a much needed integrated overview of all the critical concepts, technologies and issues in the area of virtual communities"--Provide

"This book investigates issues around teams in the virtual and hybrid classroom, offering a view of current research and practice on the subject of virtual and collaborative teams in teaching and lear

Updated and revised to include the use of Java for programming examples, this book provides readers with a thorough and clear introduction to the difficult concept of recursionUses a broad range of ex

Unlike high-level languages such as Java and C++, assembly language is much closer to the machine code that actually runs computers; it's used to create programs or modules that are very fast and effi

In the fast moving world of information technology, Java is now the number 1 programming language. Programmers and developers everywhere need to know Java to keep pace with traditional and web-based application development. COBOL Programmers Swing with Java provides COBOL programmers a clear, easy transition to Java programming by drawing on the numerous similarities between COBOL and Java. The authors introduce the COBOL programmer to the history of Java and object-oriented programming and then dive into the details of the Java syntax, always contrasting them with their parallels in COBOL. A running case study gives the reader an overall view of application development with Java, with increased functionality as new material is presented. This new edition features the development of graphical user interfaces (GUI's) using the latest in Java Swing components. The clear writing style and excellent examples make the book suitable for anyone wanting to learn Java and OO programming, whethe

Threads are essential to Java programming, but learning to use them effectively is a nontrivial task. This new edition of the classic Java Threads shows you how to take full advantage of Java's thread

Offers a thorough look at peer review in virtual environments.

This book is about the shift from the modern university of the nation state to the global virtual university of the future. John Tiffin and Lalita Rajasingham launched the idea of virtual universities

A groundbreaking Virtual Reality textbook is now even better Virtual reality is a very powerful and compelling computer application by which humans can interface and interact with computer-generated

This title provides a complete introduction to this major improvement in the new 1.4 version of Java, the new Java.Nio package. It includes information missing from previous editions of Java that are

Intended for intermediate Java programmers, analysts, and architects, this guide is a comprehensive analysis of common server-side Java programming traps (called anti-patterns) and their causes and re

Fast track route to understanding the scope and variety of virtual organisations, and the impact of information and communications technologies on the way we do businessCovers the key areas of virtual

Fast track route to getting the most out of being a remote worker Covers all the key aspects of flexible and virtual working, from teleworking and telecommuting to groupware and virtual call centres

Learning how to write multithreaded applications is the key to taking full advantage of the Java platform. InTaming Java Threads, well-known columnist and Java expert Allen Holub provides Java program

More Java Gems presents the best articles and columns published in Java Report between 1997 and 1999. Dwight Deugo, Editor of Java Report, has carefully selected each article to be independent of any specific version of Java. The material relies mainly on those classes that are now part of the standard Java class library and APIs. Also, each article and column discusses Java topics and implementations that are not readily available in a single book. The book serves as an excellent reference to anyone involved with Java. The reader can learn more about the language, perform analysis, design and modeling, work on specific implementations, check performance, and perform testing. This book presents the good ideas of people who have used Java for 'real' applications.

Java Cryptography teaches you how to write secure programs using Java's cryptographic tools. It thoroughly discusses the java.security package and the Java Cryptography Extensions (JCE), showing you

An insider's view of the Java technology which poses and answers the most important frequently asked questions about the Java programming language, Java applets, and Java stand-alone applications. Som

Smelling the virtual flowers and counting the road-kill on the digital superhighway are just a couple of things that Kroker/Weinstein explains. Others include: the theory of the virtual class; virtual

The Classic Guide to the Java Programming Language--Fully Updated through Java 21 Whatever version of Java you are using, Core Java, Volume I: Fundamentals, Thirteenth Edition, will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Java Champion Cay S. Horstmann demonstrates the most powerful and effective ways to get the job done. Written for experienced programmers looking for in-depth coverage of the Java language and platform, this revised and updated edition continues to be the first choice for serious programmers. The carefully crafted sample programs demonstrate almost every language and library feature, as well as the newest capabilities introduced in Java 21. The examples are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code. This first of two volumes offers a detailed treatment of fundame

Cybersecurity attacks grow more complex every day. The first edition of Wilson's COMPTIA PENTEST+ GUIDE TO PENETRATION TESTING helps you gain the knowledge and skills necessary to analyze systems in the same way hackers do. It provides the information you need to successfully pass the CompTIA PenTest+ PTO-002 certification exam and contains detailed examples, projects, and hands-on activities (including virtual machine labs and interactive online features) where you can practice using the actual tools and methodologies needed to be a successful penetration tester. The author begins by exploring the concept of penetration testing, and then walks you through the process of building your own penetration testing lab of virtual machines (hosted on your own computer, which is used to practice the use of pen testing tools and methods). A final project guides you in the creation of a penetration testing report that includes all the areas covered in earlier modules.

Virtual Holocaust Memory offers the first comprehensive account of a unique historical juncture, as twenty-first century digital culture meets the edge of living Holocaust memory.

When a machine boy falls to earth, his heart is awoken for the first time. As he learns to be human, he struggles to override his own programming and become a hero, from rising stars Tri Vuong and Irma Kniivila. It's a bird, it's a plane, it's... Machine Boy! When Machine Boy falls from the sky into the domed city of Mega 416, he leaves a wake of destruction in his path... until Karate Grandpa is able to turn on his heart. Now, Machine Boy wants nothing more than to become a hero! Whether he is fighting giant bugs in the school's basement, rescuing cats from trees, or making the perfect spaghetti sauce, Machine Boy is always looking for the best way to help others. But when his heart begins to interact dangerously with other debris from space, Machine Boy wonders if he can be a power for good after all. Rising stars Tri Vuong and Irma Kniivila create a funny and engaging all-ages adventure that asks-can you override your own programming?

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and res

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app

Features software workshops for 3ds Max, Maya, CINEMA 4D, Lightwave, and Softimage XSI. This title helps you get the techniques you need to create your own virtual vixens. It demonstrates the work cyc

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.

A global pandemic. Panic. Social distancing. Working from home.In a heartbeat, we went from happy hours to virtual happy hours. From conferences to virtual conferences. From selling to virtual selling

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

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 cha

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 cha

Designing Post-Virtual Architectures: Wicked Tactics and World-Building explores, describes, and demonstrates theories and strategies for design in a post-virtual world. This book reveals affinities a

A highly illustrated study of the battle of the Java Sea, a key Japanese victory in their advance throughout Southeast Asia.The battle of the Java Sea, fought in February 1942, was the first major sur

Machine Vision and Image Recognition informs the readers about the behavior fusion for visually guided service robots and the approaches and limitation in achieving vision in machine. The readers are

Scott and his gang of techno-hackers barely escaped with their lives when they planted the virus that destroyed Virtual Kombat. Now that the game is gone, they think they're finally safe. But VK creat

A comprehensive overview of developments in augmented reality, virtual reality, and mixed reality-and how they could affect every part of our lives. After years of hype, extended reality-augmented r

Haven’t you heard? Wolf is building a machine. A machine that makes dreams come true! “My greatest invention ever!” cheers Wolf. But what will happen when at last she turns the handle?An enchanting ta