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
Key Features
Around 400 plus interview questions from live share point interviews.
Full range of interview questions right from Junior share point developer to a senior people.
The book covers major sections in share points like WSS, Web parts, custom controls and workflows.
It explains content types and custom data types in a seamless manner.

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.

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.

Название: Engineering Computation: An Introduction Using MATLAB and Excel, 2nd Edition
Автор: Joseph C. Musto, William E. Howard, Richard R. Williams
Издательство: McGraw-Hill
Год: 2021
Формат: ePUB
Страниц: 336
Размер: 10 Mb
Язык: English

This text provides a detailed introduction to the computational techniques, numerical methods, and computational tools used by engineering students. It is aimed at first or second year students, and is intended to provide the theoretical and computational foundation required for advanced study in engineering. The text provides a foundation in computational theory, and an overview of thenumerical methods used by engineering students and practicing engineers. The text focuses on implementation of these computational techniques using two widely-used software packages: MATLAB, which provides a structured programming environment, and Excel, which is a ubiquitous spreadsheet application. Throughout the text, these two softwares are used to demonstrate the computational techniques developed in the text, and their advantages and limitations are described.

Название: Algebraic Graph Algorithms: A Practical Guide Using Python
Автор: K. Erciyes
Издательство: Springer
Год: 2021
Формат: ePUB, PDF
Страниц: 229
Размер: 28 Mb
Язык: English

This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text assumes readers have a background in graph theory and/or graph algorithms.

Название: Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python
Автор: S. Sumathi, Suresh Rajappa, L. Ashok Kumar, Surekha Paneerselvam
Издательство: Nova Science Publishers
Год: 2021
Формат: PDF
Страниц: 370
Размер: 11,5 Mb
Язык: English

Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalize these strategies. The book will benefit information professionals, programmers, consultants, professors, students, and industry experts who seek a variety of real-world illustrations with an implementation based on machine learning algorithms.

Название: Задачи и алгоритмы целочисленного программирования. Анализ устойчивости
Автор: Колоколов А.А., Девятирикова М.В.
Издательство: Омский государственный университет им. Ф.М. Достоевского
Год: 2015
ISBN: 978-5-7779-1873-4
Формат: pdf
Страниц: 96
Размер: 10,2 Мб
Язык: русский

Излагаются результаты исследований устойчивости задач и алгоритмов целочисленного программирования, полученные на основе авторского подхода. Данный подход базируется на методе регулярных разбиений релаксационных множеств задач целочисленного программирования, предложенном А.А. Колоколовым. Основное внимание уделяется применению L-разбиения.