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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...

Documenting Software Architectures: Views and Beyond
Documenting Software Architectures: Views and Beyond

"This book is of immense value. It should save you months of trials and errors, lots of undeserved hassle, and many costly mistakes that could potentially jeopardize the whole endeavor. It will become an important reference on the shelf of the software architect."—From the Foreword by Philippe Kruchten,...

RabbitMQ Cookbook
RabbitMQ Cookbook

Knowing a reliable enterprise messaging system based on the AMQP standard can be an essential for today’s software developers. This cookbook helps you learn all the basics of RabbitMQ through recipes, code, and real-life examples.

Overview

  • Create scalable distributed applications with RabbitMQ
  • ...
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Innovation Happens Elsewhere: Open Source as Business Strategy
Innovation Happens Elsewhere: Open Source as Business Strategy
It's a plain fact: regardless of how smart, creative, and innovative your organization is, there are more smart, creative, and innovative people outside your organization than inside. Open source offers the possibility of bringing more innovation into your business by building a creative community that reaches beyond the barriers of the business....
Measurement, Modeling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
Measurement, Modeling, and Evaluation of Computing Systems and Dependability and Fault Tolerance

This book constitutes the refereed proceedings of the 16th International GI/ITG Conference on Measurement, Modeling and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2012, held in Kaiserslautern, Germany, in March 2012.

The 16 revised full papers presented together with 5 tool papers and 5...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Microservices for the Enterprise: Designing, Developing, and Deploying
Microservices for the Enterprise: Designing, Developing, and Deploying
Understand the key challenges and solutions around building microservices in the enterprise application environment. This book provides a comprehensive understanding of microservices architectural principles and how to use microservices in real-world scenarios.

Architectural challenges using microservices with service
...
Dependency Injection in .NET Core 2.0: Make use of constructors, parameters, setters, and interface injection to write reusable and loosely-coupled code
Dependency Injection in .NET Core 2.0: Make use of constructors, parameters, setters, and interface injection to write reusable and loosely-coupled code

Inject dependencies and write highly maintainable and flexible code using the new .NET Core DI Engine

About This Book

  • Identify when to use the constructors, parameters, setters, or Interface Injection, for best results
  • Build dependencies not only for MVC within .NET but also for other...
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