Poornachandra Sarang – författare
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16 produkter
16 produkter
E-bok
Engelska, 2011596 kr
Läs direkt efter köp
Develop, Compile, and Debug High-Performance Java Applications
Take your Java skills to the next level using the expert programming techniques contained in this Oracle Press guide. Featuring real-world code samples and detailed instructions, Java Programming demonstrates how to fully utilize the powerful features of Java SE 7. Find out how to design multithreaded and network applications, integrate structured exception handling, use Java libraries, and develop Swing-based GUIs and applets. Inheritance, generics, and utility classes are are covered in this practical resource.
Create custom classes, methods, arrays, and operatorsControl program flow using conditional statementsHandle multithreaded, network, and I/O programmingLearn new constructs in multithreadingIncorporate enums, annotations, and autoboxingRecover from errors, input failures, and exceptionsUse Java Swing to build lightweight GUIs and appletsCut development time using the collections frameworkWork with the latest Java libraries and utility classes
E-bok
PDF, Engelska, 2006619 kr
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Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includes
Introductions to several of the Apache Foundation''s hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) projectYou''lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.
Häftad, Engelska, 2014
477 kr
Skickas inom 10-15 vardagar
Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includesIntroductions to several of the Apache Foundation's hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) project You'lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.
Häftad, Engelska, 2009
615 kr
Skickas inom 10-15 vardagar
Liferay Portal is the leading open-source enterprise portal framework that uses Java and Web 2.0 technologies.Web portals often function as a point of access to information on the World Wide Web. Web portals, such as Yahoo!, present information from diverse sources in a unified way. Aside from the search engine standard, web portals offer other services such as e–mail, news, stock prices, infotainment, and various other features. Portals provide a means for enterprises to supply a consistent look and feel with access control and procedures for multiple applications that otherwise would have been separate entities altogether.So, how do developers bring existing applications, as well as integrate content management systems and search engines, into a portal? And how do developers get started with the Liferay Portal engine? In Practical Liferay: Java–based Portal Applications Development, Dr. Poornachandra Sarang answers these questions and more.This book is for those who want to learn how to use Liferay to develop vertical or company–specific web portals and beyond. The book will serve as a practical guide to learning Liferay and developing real–world web portals.
E-bok
PDF, Engelska, 2009786 kr
Läs direkt efter köp
Liferay Portal is the leading open-source enterprise portal framework that uses Java and Web 2.0 technologies.
Web portals often function as a point of access to information on the World Wide Web. Web portals, such as Yahoo!, present information from diverse sources in a unified way. Aside from the search engine standard, web portals offer other services such as e–mail, news, stock prices, infotainment, and various other features. Portals provide a means for enterprises to supply a consistent look and feel with access control and procedures for multiple applications that otherwise would have been separate entities altogether.
So, how do developers bring existing applications, as well as integrate content management systems and search engines, into a portal? And how do developers get started with the Liferay Portal engine? In Practical Liferay: Java–based Portal Applications Development, Dr. Poornachandra Sarang answers these questions and more.
This book is for those who want to learn how to use Liferay to develop vertical or company–specific web portals and beyond. The book will serve as a practical guide to learning Liferay and developing real–world web portals.
Häftad, Engelska, 2020
665 kr
Skickas inom 10-15 vardagar
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are. What You'll LearnDevelop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transferWho This Book Is ForBeginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.
E-bok
Engelska, 2020896 kr
Läs direkt efter köp
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what''s new in TensorFlow 2, you''ll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. This practical approach can either be used from the beginning through to the end or, if you''re already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you''ll see just how wide the range of TensorFlow''s capabilities are. What You''ll LearnDevelop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transferWho This Book Is ForBeginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.
Inbunden, Engelska, 2006
477 kr
Skickas inom 10-15 vardagar
Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includesIntroductions to several of the Apache Foundation's hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) project You'lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.
E-bok
Engelska, 2006749 kr
Läs direkt efter köp
This book is aimed at architects and developers in the design, implementation, and integration phases of advanced information systems and e-business solutions, developing business processes and dealing with the issues of composition, orchestration, transactions, coordination, and security. The book presumes knowledge of XML and web services, web services development (either on J2EE or .NET), and multi-tier architecture
Inbunden, Engelska, 2023
511 kr
Skickas
This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.
E-bok
Engelska, 2023896 kr
Läs direkt efter köp
This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.
The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.
648 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2024
670 kr
Skickas inom 10-15 vardagar
This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.
Häftad, Engelska, 2025
559 kr
Skickas inom 10-15 vardagar
Blockchain interoperability is revolutionizing how digital assets and data move across decentralized networks. This book provides a comprehensive exploration of the protocols and frameworks that enable seamless interaction between diverse blockchains. With a focus on leading solutions such as LayerZero ULN, Polkadot XCM, Cosmos IBC, and Chainlink CCIP, readers gain a deep understanding of the mechanisms driving cross-chain communication.Blockchain Without Barriers also deals with the vulnerabilities that have challenged the industry, examining incidents such as the Wormhole and Nomad exploits that resulted in significant financial losses. Addressing these challenges, the book offers a practical guide to simulating and enhancing interoperability technologies. Detailed code walkthroughs demonstrate how to replicate bridges, relayers, and event-driven contracts using Truffle, Ganache, and Solidity, empowering readers to experiment and innovate on their own desktops. A highlight of the book is the introduction of the Cross-Domain Trust Mesh (CDTM), a novel, modular framework designed for governance-aware systems that emphasize safety, compatibility, and decomposability. Key topics include replay protection, compliance, Oracle manipulation, and developer abstractions, all presented with clarity and technical depth.By establishing clear standards and practical guidance, this book lays the foundation for the next era of Web 3.0 — a truly decentralized and interoperable digital world. It is an essential resource for scholars, researchers, developers, and anyone eager to master the complexities of blockchain interoperability.
E-bok
Engelska, 2025734 kr
Läs direkt efter köp
Blockchain interoperability is revolutionizing how digital assets and data move across decentralized networks. This book provides a comprehensive exploration of the protocols and frameworks that enable seamless interaction between diverse blockchains. With a focus on leading solutions such as LayerZero ULN, Polkadot XCM, Cosmos IBC, and Chainlink CCIP, readers gain a deep understanding of the mechanisms driving cross-chain communication.Blockchain Without Barriers also deals with the vulnerabilities that have challenged the industry, examining incidents such as the Wormhole and Nomad exploits that resulted in significant financial losses. Addressing these challenges, the book offers a practical guide to simulating and enhancing interoperability technologies. Detailed code walkthroughs demonstrate how to replicate bridges, relayers, and event-driven contracts using Truffle, Ganache, and Solidity, empowering readers to experiment and innovate on their own desktops. A highlight of the book is the introduction of the Cross-Domain Trust Mesh (CDTM), a novel, modular framework designed for governance-aware systems that emphasize safety, compatibility, and decomposability. Key topics include replay protection, compliance, Oracle manipulation, and developer abstractions, all presented with clarity and technical depth. By establishing clear standards and practical guidance, this book lays the foundation for the next era of Web 3.0 — a truly decentralized and interoperable digital world. It is an essential resource for scholars, researchers, developers, and anyone eager to master the complexities of blockchain interoperability.
Inbunden, Engelska, 2027
1 261 kr
Kommande
This definitive guide to machine learning projects answers the questions aspiring and experienced data scientists frequently face. Are you unsure which technology to use for your ML development? Should you choose GOFAI, ANN/DNN, or transfer learning? Can you rely on AutoML for model development? What if a client provides gigabytes or terabytes of data for building analytic models? How do you handle high-frequency, dynamic datasets? This book provides practitioners with a consolidated view of the entire data science process in a single “cheat sheet.”The core challenge for a data scientist is to extract meaningful information from huge datasets to create better strategies for businesses. Many machine learning algorithms and neural networks are designed to perform analytics on such datasets. For a data scientist, choosing the most suitable algorithm for a given dataset can be a daunting decision. Although there is no single answer, a systematic approach to problem solving is essential. This book describes a range of ML algorithms conceptually and discusses a structured process for selecting ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key focus of this book. Thinking Data Science will help practising data scientists, academics, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data is small or big.