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  • Добавил: literator
  • Дата: 23-03-2023, 01:24
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Head First Software Architecture: A Learner's Guide to Architectural Thinking (Early Release)Название: Head First Software Architecture: A Learner's Guide to Architectural Thinking (Early Release)
Автор: Raju Gandhi, Mark Richards, Neal Ford
Издательство: O’Reilly Media, Inc.
Год: 2023-03-20
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

If you're a software developer looking for a quick on-ramp to software architecture, this handy guide is a great place to start. From the authors of Fundamentals of Software Architecture, Head First Software Architecture teaches you how to think architecturally and explores the unique challenges of software architecture. You'll learn the distinction between architecture and design and the relationship between code, components, and architectural styles. You'll also learn how to work with some common architectural styles through vivid, fun examples. Quick, easy, and entertaining, this book is a valuable introduction to the world of software architecture.
  • Добавил: literator
  • Дата: 22-03-2023, 21:04
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Frontiers of Artificial Intelligence in Medical ImagingНазвание: Frontiers of Artificial Intelligence in Medical Imaging
Автор: Navid Razmjooy, Venkatesan Rajinikanth
Издательство: IOP Publishing
Год: 2023
Страниц: 252
Язык: английский
Формат: pdf (true), epub
Размер: 76.6 MB

This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures. This work examines recent AI-supported disease detection techniques from prominent researchers and clinicians working in the medical imaging processing domain. Within this book, the integration of various Artificial Intelligence (AI) methods, such as soft computing, Machine Learning, Deep Learning, and other related works will be presented. Real clinical images utilizing AI are incorporated. The book also includes several chapters on Machine Learning, convoluted neural networks, segmentation, and Deep Learning-assisted two-class and multi-class classification. Part of IOP Series in Artificial Intelligence in the Biomedical Sciences.
  • Добавил: literator
  • Дата: 22-03-2023, 17:48
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and ApplicationsНазвание: Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications
Автор: Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty
Издательство: Springer
Серия: Industrial and Applied Mathematics
Год: 2023
Страниц: 312
Язык: английский
Формат: pdf (true), epub
Размер: 42.2 MB

This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions―Chebyshev, Legendre, Gegenbauer, and Jacobi―are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations. On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all Machine Learning and scientific Machine Learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.
  • Добавил: literator
  • Дата: 22-03-2023, 17:11
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PHP Cookbook: Modern Code Solutions for Professional PHP Developers (8th Early Release)Название: PHP Cookbook: Modern Code Solutions for Professional PHP Developers (8th Early Release)
Автор: Eric Mann
Издательство: O’Reilly Media, Inc.
Год: 2023-03-21
Страниц: 498
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve numerous scenarios. By leveraging modern versions of PHP through version 8.1, these self-contained recipes provide fully realized solutions that can help you solve similar problems in your day-to-day work. PHP is well known as a loosely-typed language. This sets the language apart as developers are not required to identify the type of a specific variable when it’s created or even when it’s called. The interpreter behind PHP will identify the right type when the variable is used and, in many cases, transparently cast the variable as a different type at runtime.
  • Добавил: literator
  • Дата: 22-03-2023, 14:35
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80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and LearningНазвание: 80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning
Автор: Stan Skrabut, Ed.D.
Издательство: Stan Skrabut
Год: 2023
Страниц: 170
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

What is the impact of chatGPT on your classroom? Should you be concerned? Should you use it or not? In the book, "80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning," Dr. Stan Skrabut, an instructional technologist and designer, explores these topics and much more. He presents different ways to incorporate chatGPT into the classroom, including preparation for classes, providing instructional assistance, creating assessments, developing study aids, and using chatGPT for computer programming. The book also covers how students can use chatGPT for writing assistance, research, and personalized learning. ChatGPT is another addition to a line of Artificial Intelligence (AI) writing tools such as Jasper, Sudowrite, Quillbot, etc. It builds on Grammarly, the Hemingway app, Google Docs, Microsoft Word, and others. The Chapter "Using ChatGPT for Computer Programming" will teach you how to utilize chatGPT to streamline your coding process. With chatGPT, you can quickly write code in various languages. Provide specific input, and let chatGPT work its magic. Not only can chatGPT write code and explain what it does, but it also can troubleshoot any issues, write SQL code, clean up HTML code, write application scripts, and even add comments to your code. By the end of this chapter, you will have a better understanding of how to use chatGPT to improve your coding efficiency.
  • Добавил: literator
  • Дата: 22-03-2023, 04:24
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Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Third Early Release)Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Third Early Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2023-03-20
Страниц: 171
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the same out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, GitHub Actions, Dependabot, pytest, mypy, Flake8, and more. Author Claudio Jolowicz shows you how to create robust Python project structures, complete with unit tests, static analysis, code formatting, type checking, and documentation, as well as continuous integration and delivery.
  • Добавил: polyanskiy
  • Дата: 21-03-2023, 18:53
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Название: Mathcad. Учебный курс + Компакт-диск
Автор: Макаров Е. Г.
Издательство: СПб, Питер
Год издания: 2009
Страниц: 384
Формат: DJVU+CD
Размер: 321 МБ
Книга посвящена работе в 14-й версии математического пакета Mathcad. Издание имеет формат учебного курса и состоит из четырех частей. В первой части содержатся сведения, необходимые для начала работы и решения большинства практических задач. Вторая часть посвящена возможностям программы, здесь на примерах рассматриваются особенности использования встроенных функций, основные приемы и способы вычислений. В третьей части рассматриваются возможности подготовки документов Mathcad, а четвертая содержит перечень примеров решения инженерных задач в Mathcad. К книге прилагается компакт-диск. На компакт-диске:...
  • Добавил: literator
  • Дата: 21-03-2023, 15:36
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Python for Chemistry: An introduction to Python algorithms, Simulations, and Programing for ChemistryНазвание: Python for Chemistry: An introduction to Python algorithms, Simulations, and Programing for Chemistry
Автор: Dr. M. Kanagasabapathy
Издательство: BPB Publications
Год: 2023
Страниц: 206
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

A one-stop guide to teach chemists how to use Python for coding and iterations in a hands-on and practical manner. Python is a versatile and powerful computer language without a steep learning curve. It can be deployed to simulate various physicochemical parameters or to analyze complex molecular, bio-molecular, and crystalline structures. The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. This book outlines the fundamentals of Python coding through the built-in functions, libraries, and modules as well as with a few selected external packages for physical/materials/inorganic/analytical/organic/ nuclear chemistry in terms of numerical, symbolic, structural, and graphical data analysis using the default, Integrated Development and Learning Environment.
  • Добавил: literator
  • Дата: 21-03-2023, 15:20
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Model-Based Clustering, Classification, and Density Estimation Using mclust in RНазвание: Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Автор: Luca Scrucca, Chris Fraley, T. Brendan Murphy
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 28.26 MB

Model-based clustering and classification methods provide a systematic statistical modeling framework for cluster analysis and classification. The model-based approach has gained in popularity because it allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. Mclust is a widely-used software package for the statistical environment R. It provides functionality for model-based clustering, classification, and density estimation, including methods for summarizing and visualizing the estimated models. This book aims at giving a detailed overview of mclust and its features. A description of the modeling underpinning the software is provided, along with examples of its usage. In addition to serving as a reference manual for mclust, the book will be particularly useful to readers who plan to employ these model-based techniques in their research or applications. The companion website for this book contains the R code to reproduce the examples and figures presented in the book, errata and various supplementary material.
  • Добавил: literator
  • Дата: 21-03-2023, 15:05
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Deep Learning: Handbook of Statistics, Volume 48Название: Deep Learning: Handbook of Statistics, Volume 48
Автор: Venu Govindaraju, Arni S.R. Srinivasa Rao, C.R. Rao
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf (true)
Размер: 51.8 MB

Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.