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Strength of materials by R K Bansal
The fourth edition of this book a textbook of strength of materials contains twenty five chapters. This edition has been thoroughly revised and made up-to-date. A large number of numerical problems from different b.e. Degree examinations have been added with solution at proper places. At the end of each chapter, highlights, theoretical questions and many unsolved numerical problems with answers have been given for the students to practice them. Three advanced topics--stresses due to rotation in thin and thick cylinders, bending of curved bars and theories of failures of the materials have also been added. These chapters have been written in such a simple and easy-to-follow language that even an average student can understand them easily by self-study. A large number of objective type multiple choice questions, asked in the most of the competitive examinations, have been incorporated in this edition with answers and explanations to make this edition more useful for competitive examinati
Software Engineering by Ian Sommerville (Eighth Edition)
Description Software Engineering presents a broad perspective onsoftware systems engineering, concentrating on widely usedtechniques for developing large-scale systems. Its core structure,built around the key software engineering activities ofspecification, design, development, verification and validation andmanagement, makes the subject even easier to grasp and givesstudents a clear understanding of how these important topics worktogether. Improving on the widely acclaimed strengths of theseventh edition, this book updates readers with the latestdevelopments in the field. For Sale in Indiansubcontinent only Two integrated, contrasting case studies flow through the text, continuously giving practical context and examples for topics discussed Introduces management issues such as project planning early in the book, allowing it to be used in a project based course (where this material should be covered early) The discussion on systems engineering explains the role of software and why systems are more than just software Significant coverage of requirements and architectural design, emphasizing their importance in the overall SE process Program examples in Java Graphical system models in standard UML Preface Introduction Socio-technical Systems Dependability Software Processes Project Management Software Requirements RE Processes Systems Models Critical Systems Specification Formal Specification Architectural Design Distributed Systems Architecture Application Architectures Object-oriented Design Real-time System User Interface Design Iterative Software Development Software Reuse CBSE Critical Systems Development Software Evolution Verification and Validation Software Testing Critical Systems Validation Managing People Software Cost Estimation Quality Management Process Improvement Configuration Management Security Engineering Service-oriented Software Engineering Aspect-oriented Software Development Glossary References Index Solved Question Papers
Practical Natural Language Processing
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional
Operating System Concepts
The tenth edition of has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, as well as enhanced interactive elements to improve learning and the student�s experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter problems, exercises, review questions, and programming exercises help to further reinforce important concepts. New interactive self-assessment problems are provided throughout the text to help students monitor their level of understanding and progress. A Linux virtual machine (including C and Java source code and development tools) allows students to complete programming exercises that help them engage further with the material.
Java Server Programming Java EE7 (J2EE 1.7): Black Book
Special Features: · Learn the fundamentals of HTML· Work with control flow statements· Organize text in HTML· Work with text, links, URLs , and tables in HTML· Use images, colors, and canvas· Create forms in Web pages· Use interactive and multimedia elements· Explore functions, events, image maps, and animations in JavaScript· Explore language and browser objects in JavaScript· Explore the document object and Document Object Model (DOM)· Explore validations, errors, and exception handling in JavaScript· Explore backgrounds and color gradients in CSS· Explore fonts and text styles in CSS· Create boxes and columns using CSS· Explore list styles and table layouts in CSS· Explore pseudo-classes and pseudo-elements· Create effects and frames in CSS· Explore XML, XSLT, XPath, XLink, and Xpointer· Explore the fundamentals of AJAX· Implement various AJAX frameworks· Work with ASP.NET· Integrate PHP and AJAX· Consume Web services using AJAX· Work with jQuery About The Book: HTML5 Black Book is the one-time reference book, written from the Web professional s point of view, containing hundreds of examples and covering nearly every aspect of HTML5. It will help you to master various Web technologies, other than HTML5, including CSS3, JavaScript, XML, and AJAX. If you are a Web designer or developer, then this book is your introduction to new features and elements of HTML5, including audio and video media elements, the canvas element for drawing, and many others. In this book, you will learn how to use HTML5 and other Web technologies in the latest versions of modern browsers to develop Web applications.
Database System Concepts
This acclaimed revision of a classic database systems text offers a complete background in the basics of database design, languages, and system implementation. It provides the latest information combined with real-world examples to help readers master concepts. All concepts are presented in a technically complete yet easy-to-understand style with notations kept to a minimum. A running example of a bank enterprise illustrates concepts at work. To further optimize comprehension, figures and examples, rather than proofs, portray concepts and anticipate results.
