Java Virtual Machine

Since the mid-2010s, virtual reality (VR) technology has advanced rapidly. This book explores the many opportunities that VR can offer for humanities and social sciences researchers. It provides a user-friendly, non-technical methods guide to using ready-made VR content and 360° video as well as creating custom materials.

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

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabiliti

Street kid Scott jumps at the chance to be a Virtual Kombat gamer. If he can battle his way up the ranks, the ultimate prize will be his. But then his friend Kate goes missing in the battle arena, and

For courses in machine shop, machine tool technology, machining processes/manufacturing processes technology, industrial technology, industrial mechanics, and industrial engineering at the undergradua

We'll create a machine. A peace machine that will put an end to all wars. As the twentieth century dawns the world stands on the brink of yet another bloody war. But what if conflict were not inevitab

As the anchor titles in a new “Time Machine” Lyons Press baseball series, The Ultimate Cleveland Indians Time Machine presents a timeline format that not only includes the Indians’ g

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. M

Sundanese Print Culture and Modernity in 19th Century West Java traces the development of modern printed books written in Sundanese, the dominant language in West Java, Indonesia, and the mother tongu

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrat

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-wor

Java in Two Semesters caters both for those taking a first programming course in Java, as well as those going on to specialise in programming and software engineering.This revised and updated new edit

Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is cover

Strengthen mathematical skills and gain practice using those skills in preparation for success in machine trades or manufacturing with Peterson/Smith's MATHEMATICS FOR MACHINE TECHNOLOGY, 8E. This com

Minecraft is more than just a video game. It is a phenomenon that has taken the world by storm. In this book, readers will learn how they can use virtual reality technology to explore Minecraft in a w

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook f

This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w

Inspired by a brother’s high school science project—a perpetual motion machine that could save the world— The Perpetual Motion Machine is a memoir in essays that attempts to save a sibling by depictin

This innovative approach to teaching Java language and programming uses game design development as the method to applying concepts. Instead of teaching game design using Java, projects are designed to

We are witnessing a revolution in storytelling. Publications all over the world are increasingly using immersive storytelling—virtual reality, augmented reality and mixed reality—to tell compelling st

This collection of essays explores the history, implications, and usefulness of phenomenology for the study of real and virtual places. While the influence of phenomenology on architecture and urban d

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It il

One of the most complete nursing education learning systems available, Virtual Clinical Excursions 4.0 (VCE) is an interactive print and online workbook that guides you through a virtual hospital wher