Java Virtual Machine

本書全面系統地介紹了Java語言的特點及應用技術，內容上以Java的基礎程序設計、面向對象程序設計和事件處理為三大主線，利用淺顯易懂的語言、簡單豐富的實例，完整地介紹了Java面向對象程序設計的要點和難點。全書共14章，內容包括Java程序設計的基礎、類與對象、鍵盤輸入與流程控制、數組、類的方法繼承性和多態性、異常處理、文件處理、多線程、圖形界面設計、小程序設計、數據庫程序設計和網絡編程。 本

《Java程序員修煉之道》分為四部分，第一部分 全面介紹Java 7 的新特性，第二部分探討Java 關 鍵編程知識和技術，第三部分討論JVM 上的新語言和 多語言編程，第四部分將平台和多語言編程知識付諸 實踐。從介紹Java 7 的新特性入手，本書涵蓋了 Java 開發中最重要的技術，比如依賴注入、測試驅 動的開發和持續集成，探索了JVM 上的非Java 語言，並詳細講解了多語言項目，特別是涉及

本書採取“基礎知識→核心應用→核心技術→高級應用→行業應用→項目實踐”的結構和“由淺入深，由深到精”的學習模式進行講解。全書共28章，不僅介紹了Java語言入門、面向對象編程、內部類、抽象類與接口、數組和方法、字符串、常用類等Java語言的基礎知識，而且深入講解了Java的常用類庫、I/O編程、GUI編程、Swing編程、網絡編程以及JDBC編程等核心編程技術，詳細探討了Java提供的各種軟件開發

本書以Java SE 7為基礎，從程序設計基礎知識入手，由淺入深、循序漸進地介紹Java語言的基本概念、理論知識、程序設計方法及部分企業級應用技術。全書共11章，第1章為預備知識，簡要介紹程序設計、算法、軟件工程的基礎知識；第2章介紹Java語言的概況、程序結構和程序開發過程；第3、4章介紹Java的數據表示、運算和處理，包括數據類型、數據表示形式（常量、變量和字面量）、運算符及表達式、流程控制等

目前，很多新的技術領域都涉及Java語言。Java語言是面向對象程序設計語言，涉及網絡、多線程等重要基礎知識，所以Java語言是學習面向對象編程和網絡編程的首選語言。 本書講解Java程序設計的相關知識及其編程方法，包括Java語言編程基礎、類與對象、繼承與多態、異常處理、組件及事件響應、常見類的使用和I/O流、數據庫、多線程和Java網絡編程等。 本書的章節編排與內容以人們學習與認知的過

本書是針對學習Java程序設計基礎的實驗指導教材。全書分為12章。包括Java命令行、集成開發環境，Java基本數據類型、運算，流程控制、數組字符串、API文檔的使用、類和對象，包和接口、繼承與多態、異常處理、Java的GUI編程，事件處理、多線程。本書的實驗內容由淺入深，循序漸進，從最基礎的定義、簡單的使用到最後結合實際應用逐步提高實驗的難度，幫助讀者熟悉和掌握Java語言的語法知識以及掌握程序

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learni

《Java程序設計案例教程》共12章，第1章是Java語言概述；第2～4章講述了Java語言基礎，包括數據類型、常量和變量、運算符和表達式、簡單的輸入與輸出、Java程序的控制結構和數組；第5、6章講述了面向對象程序設計，包括類的封裝、繼承和多態；第7章講述了常用實用類，包括常用工具類和集合容器類等；第8章講述了Java異常處理；第9章講述了Java輸入流和輸出流；第10、11章講述了圖形用戶界面

本書系統地介紹了Java桌面編程的基礎知識，共分10章。其中，前9章的內容包括Java概述及開發環境，Java語言基礎，面向對象的程序設計，多線程，集合框架與泛型，Java UI設計，Java I/O操作與文件讀寫，網絡編程和JDBC編程；第10章是綜合項目實訓。本書充分考慮後續課程的需要，精心安排內容結構，力求從簡單到複雜，循序漸進，突出邏輯性和實用性。重要的知識點都配有示例，配套的課程網站包括

Japan's Occupation of Java in the Second World War draws upon written and oral Japanese, Indonesian, Dutch and English-language sources to narrate the Japanese occupation of Java as a transnational in

《高等學校計算機科學與技術教材：Java EE編程技術（第2版）》對JavaEE6編程技術進行了系統介紹。首先對Java EE體系結構進行概述，介紹Java EE的定義、設計思想、技術框架等，然後詳細指導讀者如何基於Net Beans+My SQL來搭建Java EE開發環境，隨後以Java EE企業應用的表現層、業務邏輯層和數據持久化層的編程任務為主線，由淺入深地講解各個應用層次開發相關的組件技

本書介紹了Java語言的語法、類型、併發程式設計等基礎知識，同時還以樣例的形式講解了Lambda運算式、Java模組系統、JShell這些Java 8和Java 9新引入的特性。

本書採用“項目引領、任務驅動”的教學方式，通過大量案例全面介紹了Java語言開發技術。全書分為4個項目，包含10項任務，內容涵蓋Java編程開發環境的搭建、Java語法基礎、條件語句、循環語句、跳轉語句、數組、類和對象、繼承和多態、抽象類和接口、包、訪問控制權限、常用Java API、程序調試和異常處理、Java界面編程、IO流、文件處理技術、線程、網絡編程等。全書由易到難，循序漸進，適合學生在實

《Java全面開發詳解(基礎篇)·Java SE快速入門》共分為十一章，涵蓋了Java在編程中常用的API，對重難點內容進行了針對性講解。本書按照由淺入深、循序漸進的規律，從初識開發工具包JDK到集成開發工具Eclipse的使用安裝一一進行介紹，幫助初學者熟悉Java開發所需要的開發工具，理解開發所使用的API。 初識Java(第一章)介紹JDK和Eclipse的安裝配置方法，主要熟悉開發工具

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different ap

This book is written for librarians, by librarians: understanding that diverse communities use libraries, museums, and archives for a variety of different reasons. It makes augmented reality, virtual

針對Java SE 9做了全面細緻的更新，將引導你輕鬆學習新的核心Java編程技能，指導你立即著手編寫Java程序。《Java編程入門官方教程(第7版)》開篇講述Java語言基礎知識(如創建、編譯和運行Java程序的方式)，此後濃墨重彩地描述構成Java語言核心的關鍵字、語法和結構。最後介紹Java的一些高級特性，如多線程程序設計、泛型、lambda表達式、Swing、JavaFX、新“模塊”功能

本書主要介紹Java語言的基礎知識，面向對象的特點、Java基本類庫以及Java的基本應用，包括I/O、文本界面、圖形界面等。同時介紹一些高級應用，如數據庫編程、網絡編程、多媒體編程等內容。

《Java JDK 9學習筆記》是作者多年來教學實踐經驗的總結，彙集了學員在學習Java 或認證考試時遇到的概念、操作、應用等問題及解決方案。 《Java JDK 9學習筆記》針對Java SE 9 新功能全面改版，無論是章節架構或範例程序代碼，都做了重新編寫與全面翻新，並詳細介紹了Java 9 的模塊化，JVM、JRE、Java SE API、JDK 與IDE 之間的對照關係。必要時可從Ja

Build powerful back-end business logic and complex Enterprise JavaBeans (EJB)-based applications using Java EE 8, Eclipse Enterprise for Java (EE4J), Web Tools Project (WTP), and the Microprofile plat

With the release of Java 9 and the increasing maturity of web/microservice frameworks such as Spring Boot and Eclipse MicroProfile, there's never been a better time to design and implement Java-powere

This book is written for librarians, by librarians: understanding that diverse communities use libraries, museums, and archives for a variety of different reasons. It makes augmented reality, virtual

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine

本書是一部系統論述Java編程語言與編程方法的立體化教程（含紙質圖書、電子書、教學課件、源代碼與視頻教程）。全書共分為四篇：第一篇為Java基礎（第1章～第10章），第二篇為面向對象編程（第11章～第18章），第三篇為Java進階（第19章～第28章），第四篇為Java項目實戰（第29章～第30章）。書中主要內容包括：開篇綜述；開發環境搭建；第一個Java程序；Java語法基礎；Java編碼規範；

This book takes the concept of “dark tourism”—journeys to sites of death, suffering, and calamity—in an innovative yet essential direction by applying it to the virtual realms of literature, film and

The course of Machine Elements or Machine Design is one of the most fundamental that students take. It focuses on single components of machines in isolation, but does not frame them in the context of

The day you bring home your Cricut machine is such an exciting day. You probably heard the amazing stories about all the things the machine can do before you bought your machine and cannot wait to get

This book completes the Apress Java learning journey and is a comprehensive approach to learning Java APIs, extensions, and modules such as Java EE integration, mobile Java modules, JavaFX, and JDBC.

本書以最新的Java SE 8爲基礎，全面講解Java編程語言、Java面向對象技術和Java核心類庫。全書共18章，主要內容包括Java語言基礎（數據類型、運算符與表達式、程序流程控制）、類與對象基礎、數組與字符串、Java面向對象特徵（類的繼承與多態、內部類與注解類型、接口與Lambda表達式）、常用核心類、泛型與集合框架、异常處理、輸入輸出、JavaFX圖形界面及事件處理、常用控件、JDBC

Teachers nationwide are adopting immersive technology — devices and software that provide augmented, virtual and mixed reality experiences — to enable students to go on virtual field trips, manipulate

“想知道如何使用最新版的Java來處理日常工作嗎？答案在這本書中。Ken Kousen快速地說明幾種常見的問題，並將解決方案簡化，讓我們可以輕鬆地使用它。 -Dr. Venkat SubramaniamAgile Developer公司創辦人“要快速、有效地上手Java，閱讀這本書是最好的方式。想要提升知識的Java開發者都可以在書中找到他們想要的東西。”-Trisha GeeJet Brains

An introduction to machine learning that includes the fundamental techniques, methods, and applications Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concept

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

The new field of machine ethics is concerned with giving machines ethical principles, or a procedure for discovering a way to resolve the ethical dilemmas they might encounter, enabling them to function in an ethically responsible manner through their own ethical decision making. Developing ethics for machines, in contrast to developing ethics for human beings who use machines, is by its nature an interdisciplinary endeavor. The essays in this volume represent the first steps by philosophers and artificial intelligence researchers toward explaining why it is necessary to add an ethical dimension to machines that function autonomously, what is required in order to add this dimension, philosophical and practical challenges to the machine ethics project, various approaches that could be considered in attempting to add an ethical dimension to machines, work that has been done to date in implementing these approaches, and visions of the future of machine ethics research.

Machine translation has become increasingly popular, especially with the introduction of neural machine translation in major online translation systems. However, despite the rapid advances in machine

Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta

Use the JavaFX platform to create rich-client Java applications and discover how you can use this powerful Java-based UI platform, which is capable of handling large-scale data-driven business applica

This effective self-study guide covers every topic on the current version of the OCP Java SE 8 Programmer II examTake the latest version of the OCP Java SE 8 Programmer II exam with complete confidenc