Название: The Essence of Software: Why Concepts Matter for Great Design Автор: Daniel Jackson Издательство: Princeton University Press Год: 2021 Страниц: 312 Язык: английский Формат: pdf, epub Размер: 18.1 MB
A revolutionary concept-based approach to thinking about, designing, and interacting with software. As our dependence on technology increases, the design of software matters more than ever before. Why then is so much software flawed? Why hasn’t there been a systematic and scalable way to create software that is easy to use, robust, and secure? Examining these issues in depth, The Essence of Software introduces a theory of software design that gives new answers to old questions. Daniel Jackson explains that a software system should be viewed as a collection of interacting concepts, breaking the functionality into manageable parts and providing a new framework for thinking about design. Through this radical and original perspective, Jackson lays out a practical and coherent path, accessible to anyone—from strategist and marketer to UX designer, architect, or programmer - for making software that is empowering, dependable, and a delight to use.
Название: Test your Skills in Python Language: A complete questionnaire for self-assessment Автор: Shivani Goel Издательство: BPB Publications Год: 2019 Страниц: 150 Язык: английский Формат: pdf (true) Размер: 10.1 MB
An interactive way to introduce the world of computer programming. This book gives you an opportunity to check your proficiency in Python by answering the questions in this book. The Programs/commands presented in this book are executed using Python version 3.5.2. The questions are categorized based on various facts of programming in python. The aim is to cover the topics in depth. Detailed explanation of each question helps even a novice learner.
Basic guide to learn the server-side programming. The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity of the programming examples, logic is explained properly and discussed by using comments in the program itself. The book covers the topics right from the start of the software using snapshots of starting the software and writing programs into it. The database examples are discussed in detail from simple to complex taking into consideration the requirement of students. Various sample projects are included in the Book and are written in simple language so as to give students the basic idea of developing projects in PHP using MySQL.
Название: Numerical Analysis: A Programming Approach Автор: Vinay Vachharajani Издательство: BPB Publications Год: 2017 Страниц: 596 Язык: английский Формат: pdf (true) Размер: 10.2 MB
Learn the concept of algorithms from beginners to advanced level. In the present scenario where the knowledge of computers has become an absolute necessity, there has been an increasing desire for numerical answers to any applied problem. This has led to high demand for courses in numerical analysis. Many real world problems are solved first by converting them into mathematical models and then applying analytical methods to solve that model. In several cases, where ordinary analytical methods fail, numerical methods can give the result. Programs are written in C Language for Numerical methods.
Название: Java in Depth: Learn the most favoured language for edge device and Internet of Things development Автор: Sarika Agarwal, Himani Bansal Издательство: BPB Publications Год: 2018 Страниц: 335 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Learn the basics of programming in a simplified manner. The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, appropriate analogies are given extensively throughout the text. Various questions are included that vary widely in type and difficulty to understand the text. is text is user-focused and has been highly updated including topics, pictures and examples.
Название: VLSI and Hardware Implementations using Modern Machine Learning Methods Автор: Saini Sandeep Издательство: CRC Press Год: 2022 Формат: PDF Страниц: 329 Размер: 22,3 Mb Язык: English
Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques.
Название: SharePoint Interview Questions and Answers: Get the birds eye view of what is required in SharePoint interviews Автор: Shivprasad Koirala Издательство: BPB Publications Год: 2020 Формат: PDF Страниц: 172 Размер: 112.8 Mb Язык: English
Ready reckoner for freshers, intermediaries and experts who are appearing for a SharePoint Interview
Название: Modern Deep Learning Design and Application Development Versatile Tools to Solve Deep Learning Problems Автор: Andre Ye Издательство: Apress Год: 2022 Формат: PDF Страниц: 463 Размер: 12,3 Mb Язык: English
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You’ll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you’ll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You’ll learn not only to understand and apply methods successfully but to think critically about it.
Название: Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge) Автор: Aidan Hogan, Sebastian Neumaier, Axel-Cyrille Ngonga Издательство: Morgan & Claypool Publishers Год: 2022 Страниц: 258 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques–based on statistics, graph analytics, Machine Learning, etc.–can be used to encode and extract knowledge.
Название: Sensor Data Analysis and Management: The Role of Deep Learning Автор: A. Suresh, R. Udendhran, M.S. Irfan Ahmed Издательство: Wiley-IEEE Press Год: 2021 Страниц: 217 Язык: английский Формат: epub Размер: 37.5 MB
Discover detailed insights into the methods, algorithms, and techniques for Deep Learning in sensor data analysis. Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of Deep Learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of Deep Learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The book contains real-time examples of analyzing sensor data using Deep Learning algorithms and a step-by-step approach for installing and training Deep Learning using the Python Keras library.