Название: C++ Software Design: Design Principles and Patterns for High-Quality Software (Final)
Автор: Klaus Iglberger
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 435
Язык: английский
Формат: epub (true), mobi
Размер: 10.8 MB

Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language. C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today's possibilities.

Название: MATLAB Deep Learning Toolbox Getting Started Guide
Автор: Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth
Издательство: The MathWorks, Inc
Год: 2022
Формат: True PDF
Страниц: 132
Размер: 10 Mb
Язык: English

Deep Learning Toolbox™ provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically.

Название: MATLAB Deep Learning Toolbox User’s Guide (R2022b)
Автор: Beale M.H., Hagan M.T., Demuth H.B.
Издательство: The MathWorks, Inc.
Год: 2022
Формат: PDF
Страниц: 4452
Размер: 94,7 Mb
Язык: English

Deep Learning (DL) is a branch of Machine Learning (ML) that teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep Learning is especially suited for image recognition, which is important for solving problems such as facial recognition, motion detection, and many advanced driver assistance technologies such as autonomous driving, lane detection, pedestrian detection, and autonomous parking.

Название: A Guide to MATLAB for ME 160
Автор: Austin Bray and Reza Montazami
Издательство: Iowa State University Digital Press
Год: 2022
Формат: True PDF
Страниц: 81
Размер: 10 Mb
Язык: English

This textbook provides an introduction to the MATLAB programming language for first-year mechanical engineering students enrolled in ME 160, Mechanical Engineering Problem Solving with Computer Applications. Designed to follow the content taught in class, this book provides a supplement to in-class learning that is presented at a level that is understandable to a student with no experience coding before coming to Iowa State University.

Название: Handbook of Research on Artificial Intelligence in Human Resource Management
Автор: Stefan Strohmeier
Издательство: Edward Elgar Publishing Limited
Год: 2022
Формат: True PDF
Страниц: 417
Размер: 10 Mb
Язык: English

This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Название: Operating OpenShift (Early Release)
Автор: Rick Rackow and Manuel Dewald
Издательство: O’Reilly Media
Год: 2022-09-20: Third Release
Формат: ePUB
Размер: 10 Mb
Язык: English

Kubernetes has gained significant popularity over the past few years, with OpenShift as one of its most mature and prominent distributions. But while OpenShift provides several layers of abstraction over vanilla Kubernetes, this software can quickly become overwhelming because of its rich feature set and functionality. This practical book helps you understand and manage OpenShift clusters from minimal deployment to large multicluster installations.

Название: Terraform: Up & Running: Writing Infrastructure as Code, 3rd Edition (Final)
Автор: Yevgeniy Brikman
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 585
Язык: английский
Формат: pdf (true), epub
Размер: 17.0 MB

Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform. Gruntwork cofounder Yevgeniy (Jim) Brikman takes you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers.

Название: Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization
Автор: Ali Kaveh, Kiarash Biabani Hamedani
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 369
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book.

Название: Programming with Python
Автор: T.R. Padmanabhan
Издательство: Springer
Год: 2016
Страниц: 349
Язык: английский
Формат: pdf (true), epub
Размер: 18.2 MB

Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book’s primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing. Given the open and participatory nature of development, Python has a variety of incorporated data structures, which has made it difficult to present it in a coherent manner. Further, some advanced concepts (super, yield, generator, decorator, etc.) are not easy to explain. The book specially addresses these challenges; starting with a minimal subset of the core, it offers users a step-by-step guide to achieving proficiency. So embrace Python—the language by the people, of the people, for the people.

Название: Reliable Machine Learning
Автор: Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley and Todd Underwood
Издательство: O’Reilly Media
Год: 2022
Формат: ePUB
Размер: 10 Mb
Язык: English

Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.