Название: Kotlin at a Glance: Use of Lambdas and higher-order functions to write more concise, clean, reusable, and simple code
Автор: Swati Saxena
Издательство: BPB Publication
Год: 2019
Страниц: 148
Язык: английский
Формат: pdf
Размер: 10.1 MB

Basic guide to develop an App in Android by using Kotlin. “Kotlin at a Glance" is a book that gives an in-depth knowledge about Kotlin. This book mainly focused on Kotlin programming language and its comparison to Java. By reading this book, the readers can make themselves familiar with the language’s most important features and aspects. With a complete overview of OOPs, null safety, generics, and many other interesting features, this book is a perfect choice for fresher and experienced Java developers who want to learn more about this alternative JVM language. For reading this book, there’s no need for any prior Kotlin knowledge, as the basics are explained in the book. Moreover, the required functional programming concepts are also described.

Название: Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
Автор: James Reinders, Ben Ashbaugh, James Brodman
Издательство: Apress
Год: 2021
Страниц: 565
Язык: английский
Формат: pdf (true), epub
Размер: 91.7 MB

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand.

Название: Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications: Dedicated to Bernadette Bouchon-Meunier
Автор: Marie-Jeanne Lesot
Издательство: Springer
Серия: Studies in Fuzziness and Soft Computing
Год: 2021
Страниц: 467
Язык: английский
Формат: epub
Размер: 29.2 MB

This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends in the research community in order to provide readers with a rich primer. It presents an overview of various soft computing topics and approximate reasoning-based approaches, both from theoretical and applied perspectives. Numerous topics are covered: fundamentals aspects of fuzzy sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems.

Название: Deep Learning with C#, .Net and Kelp.Net: The Ultimate Kelp.Net Deep Learning Guide
Автор: Matt R. Cole
Издательство: BPB Publications
Год: 2019
Формат: PDF
Страниц: 357
Размер: 10 Mb
Язык: English

Deep Learning with Kelp.Net is the ultimate reference for C# .Net developers who are passionate about deep learning. Readers will learn all the skills necessary to develop powerful, scalable and flexible deep learning models from a fluid and easy to use API. Upon completing the book the reader will have all the tools necessary to add powerful deep learning capabilities to their new or existing applications.

Название: Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering & Production Engineering with Python
Автор: Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli
Издательство: Apress
Год: 2020
Формат: PDF, EPUB
Страниц: 320
Размер: 18 Mb
Язык: English

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts.

Название: Python Data Persistence: With SQL and NOSQL Databases
Автор: Malhar Lathkar
Издательство: BPB Publications
Год: 2019
Формат: PDF
Страниц: 203
Размер: 10 Mb
Язык: English

Python is becoming increasingly popular among data scientists. However, analysis and visualization tools need to interact with the data stored in various formats such as relational and NOSQL databases.
This book aims to make the reader proficient in interacting with databases such as MySQL, SQLite, MongoDB, and Cassandra.

Название: Visual Studio 2019 In Depth: Discover and make use of the powerful features of the Visual Studio 2019
Автор: Ockert J. Du Preez
Издательство: BPB Publications
Год: 2019
Страниц: 248
Язык: английский
Формат: pdf
Размер: 10.4 MB

Step-by-step guide to all the tools and extensions in the Visual Studio 2019 IDE. This book peeks into every corner of the Visual Studio IDE and will help you get started with the latest 2019 version. Right from installation, you’ll discover new features within the tool and the optimal way to use the features you may already know. You'll learn, for example, how to extend Visual Studio with your own customizations, so that you can make it perform the way you want. You will then explore everything about NuGet package, test applications using Live Unit Testing, and learn how to make code templates using the T4 code generation tool. You’ll get to grips with the richer jаvascript IntelliSense, which will help you focus more on coding.

Название: Программные и аппаратные трояны — способы внедрения и методы противодействия : первая техническая энциклопедия - в 2-х книгах. Книга 1
Автор: Белоус А. И. , Солодуха В. А. , Шведов С. В.
Издательство: Техносфера
Год: 2019
Cтраниц: 1318 с. : ил., схем., табл.
Формат: pdf (ocr)
Размер: 120 мб
Язык: русский

Впервые в мировой научно-технической литературе в объеме одного комплексного издания последовательно и детально исследован феномен программных и аппаратных троянов, которые фактически являются технологической платформой современного и перспективного информационно-технического оружия (кибероружия). Материал энциклопедии представлен в виде 12 глав.

Название: Many-Core Computing: Hardware and software
Автор: Edited by Bashir M. Al-Hashimi and Geoff V. Merrett
Издательство: The Institution of Engineering and Technology
Год: 2019
Формат: PDF
Страниц: 602
Размер: 23,41 МБ
Язык: English

Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number of parallel cores increases, we transition into the many-core computing era. There is considerable interest in developing methods, tools, architectures and applications to support many-core computing.

Название: Data Analysis with Python and PySpark (MEAP Version 7)
Автор: Jonathan Rioux
Издательство: Manning Publications Co
Год: 2020
Формат: True PDF
Страниц: 259
Размер: 15.1 Mb
Язык: English

Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Hadoop-based clusters to Excel worksheets. You’ll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. By the time you’re done, you’ll be able to write and run incredibly fast PySpark programs that are scalable, efficient to operate, and easy to debug.