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Design Patterns for Searching in C#
Design Patterns for Searching in C#
DESIGNING OBJECT ORIENTED software is difficult, but there are reoccurring patterns that have been documented [1]. These patterns specify how interacting classes and objects can combine to solve very general problems. It is up to the designer to recognize when a pattern can be employed and then to implement the domain specific classes and objects...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

  • Enhance your skills to grow your career as a software architect
  • Design efficient software architectures using patterns and best practices
  • Learn...
AWS Certified Solutions Architect Practice Tests: Associate SAA-C01 Exam
AWS Certified Solutions Architect Practice Tests: Associate SAA-C01 Exam

NEW!  We've added two new practice exams to the online test bank to cover concepts in the new certification Exam SAA-C02. To help you prepare for taking the exam, the updated test bank now includes THREE practice exams PLUS all the domain-by-domain questions. Over 1000 questions to test your...

Computational Vision and Medical Image Processing: Recent Trends
Computational Vision and Medical Image Processing: Recent Trends

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Practical Rust Web Projects: Building Cloud and Web-Based Applications
Practical Rust Web Projects: Building Cloud and Web-Based Applications

Go beyond the basics of Rust and build web and serverless cloud applications. The applications explained in this practical book include web sites, RESTful APIs, a real-time web chat application, and frontend application with WebAssembly. Each chapter is organized in the following format: what this kind of application looks...

Kotlin Blueprints: A practical guide to building industry-grade web, mobile, and desktop applications in Kotlin using frameworks such as Spring Boot and Node.js
Kotlin Blueprints: A practical guide to building industry-grade web, mobile, and desktop applications in Kotlin using frameworks such as Spring Boot and Node.js

Get to know the building blocks of Kotlin and best practices when using quality world-class applications

Key Features

  • Learn to build exciting and scalable Android and web applications (both the server-side and client-side parts) with your Kotlin skills
  • Dive into the great...
Quantum Approach to Informatics
Quantum Approach to Informatics
An essential overview of quantum information

Information, whether inscribed as a mark on a stone tablet or encoded as a magnetic domain on a hard drive, must be stored in a physical object and thus made subject to the laws of physics. Traditionally, information processing such as computation occurred in a framework governed by laws of classical...

Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several...
Hands-On Penetration Testing with Python: Enhance your ethical hacking skills to build automated and intelligent systems
Hands-On Penetration Testing with Python: Enhance your ethical hacking skills to build automated and intelligent systems

Implement defensive techniques in your ecosystem successfully with Python

Key Features

  • Identify and expose vulnerabilities in your infrastructure with Python
  • Learn custom exploit development
  • Make robust and powerful cybersecurity tools with Python
  • ...
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners.

The book uses data, network...

A Dictionary of Computer Science (Oxford Quick Reference)
A Dictionary of Computer Science (Oxford Quick Reference)

Previously named A Dictionary of Computing, this bestselling dictionary has been renamed A Dictionary of Computer Science, and fully revised by a team of computer specialists, making it the most up-to-date and authoritative guide to computing available. Containing over 6,500 entries and with expanded coverage of multimedia,...

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