Название: How Machine Learning is Innovating Today's World: A Concise Technical Guide
Автор: Arindam Dey, Sukanta Nayak, Ranjan Kumar, Sachi Nandan Mohanty
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 477
Язык: английский
Формат: pdf (true)
Размер: 50.6 MB

Provides a comprehensive understanding of the latest advancements and practical applications of Machine Learning techniques. Machine Learning (ML), a branch of Artificial Intelligence (AI), has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today's World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries. It provides a comprehensive understanding of the practical applications of ML techniques. The chapters herein cover a wide range of topics, each contributing a unique perspective to the broader landscape of machine learning. First is a comprehensive analysis of various tokenization techniques and the sequence-to-sequence model in natural language processing. Next, Chapter 2 explores the evaluation of English language readability using ML models, followed by a detailed study of text analysis for information retrieval through natural language processing (NLP) in the subsequent chapter. Recommender systems’ domain of application is discussed in Chapter 16, and the next chapter reviews mood detection, emoji generation, and classification using tokenization and CNN. Chapter 18 delves into a new variation of the exam scheduling problem using graph coloring, and Chapter 19 examines the intersection of software engineering and Machine Learning applications. The book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how Machine Learning and Artificial Intelligence can benefit their work.

Название: Think Like a Software Engineering Manager (Final Release)
Автор: Akanksha Gupta
Издательство: Manning Publications
Год: 2024
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Most development teams are only as good as their leader. In this practical guide, you'll explore all aspects of the software engineering manager's job, from operational practices to the core skills of handling humans. Experienced team leader Akanksha Gupta helps you explore whether software engineering management is the right move for your career, guides you through preparing for the position, and gives you all the tools you need to thrive in the role. Thought-provoking exercises help you apply what you learn to your daily professional life, and prepare you for making the big decisions about software. A software engineering manager needs to be an amazing communicator, an effective decision maker, and a thoughtful mentor. Your success depends on your ability to evaluate and manage projects, motivate and lead your team, and coolly handle whatever crisis each new day brings. It's a big transition, and this book will guide you every step of the way. Think Like a Software Engineering Manager teaches you how to hire, train, and lead a successful development team. You'll start with building and managing your team to maximize performance. You'll then quickly progress to strategies for delivering large scale projects, cultivating excellence in your projects, and managing change. Author Akanksha Gupta's battle stories and industry anecdotes from her work at Amazon, Audible, Robinhood, and Microsoft reveal how the experts handle the biggest engineering management challenges. For new and aspiring software engineering managers.

Название: D3.js in Action, 3rd Edition (Final Release)
Автор: Elijah Meeks, Ann-Marie Dufour
Издательство: Manning Publications
Год: 2024
Страниц: 658
Язык: английский
Формат: pdf (true)
Размер: 46.7 MB

Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. Chapter-by-chapter you’ll assemble an impressive portfolio of visualizations—including intricate networks, maps, and even a complete customized visualization layout. Plus, you'll learn best practices for building interactive graphics, animations, and integrating your work into frontend development frameworks like React and Svelte. D3.js in Action, Third Edition has been extensively revised for D3.js version 7, and modern best practices for web visualizations. Its brand new chapters dive into interactive visualizations, cover responsiveness for dataviz, and show you how you can improve accessibility. With D3.js, you can create sophisticated infographics, charts, and interactive data visualizations using standard frontend tools like jаvascript, HTML, and CSS. Granting D3 its VIS Test of Time award, the IEEE credited this powerful library for bringing data visualization to the mainstream. You’ll be blown away by how beautiful your results can be! D3.js in Action, Third Edition is a roadmap for creating brilliant and beautiful visualizations with D3.js. Like a gentle mentor, it guides you from basic charts all the way to advanced interactive visualizations like networks and maps. You’ll learn to build graphics, create animations, and set up mobile-friendly responsiveness. Each chapter contains a complete data visualization project to put your new skills into action. For web developers with HTML, CSS, and jаvascript skills.

Название: Django in Action (Final Release)
Автор: Christopher Trudeau
Издательство: Manning Publications
Год: 2024
Страниц: 438
Язык: английский
Формат: pdf (true)
Размер: 12.4 MB

Build professional quality web applications using Python and the Django 5.0 web framework. The Django web application framework powers huge sites like Netflix, Dropbox, YouTube, and Spotify. Learn how it can power your web apps too! In this hands-on book, you'll begin building a fully functional web application with Django starting with chapter 1. Django in Action is the perfect way to get started for new Django developers creating their first Python-based web apps. It's written by Christopher Trudeau, co-host of The Real Python Podcast and creator of dozens of popular courses at Real Python and TalkPython. The book starts with Django's basics and works through all of the core concepts of the framework until you're comfortable and confident creating your own web apps. You'll especially enjoy the author's lighthearted style that makes learning fun! Django makes life easier for Python web developers. This "batteries included" framework comes packed with everything you need—a template engine that crafts HTML-like code, efficient user management features, automated testing, robust API support, and much more. If you know the basics of Python, Django will help you build professional-quality web applications. This book will show you how. For readers with basic Python programming and some HTML knowledge.

Название: The Future of Artificial Neural Networks
Автор: Indrajit Ghosal, Arun Mittal, Hemlata Jain
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2024
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB

This book is a compilation of eleven quality articles exploring a variety of aspects on applications of ANN. Various authors of the articles have presented their work around the applications of ANN in healthcare and self-medication behaviour, Stock Market Analytics, ANN integrated application for industries including regulatory complaining aspect in Banking Industry, Deep Learning Framework in Medical Diagnosis, Face Recognition, Mobile Learning in Medical Education, Process and Applications of ANN using MATLAB, etc. Chapter 1 - This chapter explores the integration of Machine Learning techniques, particularly deep neural networks, in the field of medical image processing for precision medicine. The healthcare industry has accumulated vast amounts of complex data, and advancements in technology have led to an increase in structured and unstructured medical data. The chapter discusses the historical development of image processing techniques, moving from labor-intensive approaches to more efficient and faster operations using artificial neural networks. Various feature extraction methods, with a focus on dimensionality reduction, are investigated to optimize the performance of neural networks. The application of deep neural network models in medical imaging is explored, with a gradual implementation strategy proposed to address challenges related to data variability across institutions.

Название: Разработка SCADA-систем
Автор: Кангин В. В. , Кангин М. В. , Ямолдинов Д. Н.
Издательство: Инфра-Инженерия
Год: 2019
Cтраниц: 565 с. : ил., табл., схем.
Формат: pdf (ocr)
Размер: 38 мб
Язык: русский

Даны рекомендации по проектированию SCADA-системы с использованием среды визуального программирования Delphi. Приведен обзор существующих SCADA-систем с анализом принципов их работы. Рассмотрены возможности SCADA-системы как инструмента для просмотра тегов. Освещены вопросы организации распределенных систем управления с развитым диспетчерским уровнем.

Название: Learn OpenGL Graphics Programming
Автор: Joey de Vries
Издательство: Kendall Welling
Год выхода: 2020
Страниц: 523
Формат: True PDF
Размер: 50,5 MB
Язык: английский

Welcome to the online book for learning OpenGL! Whether you are trying to learn OpenGL for academic purposes, to pursue a career or simply looking for a hobby, this book will teach you the basics, the intermediate, and all the advanced knowledge using modern (core-profile) OpenGL. The aim of LearnOpenGL is to show you all there is to modern OpenGL in an easy-to-understand fashion with clear examples, while also providing a useful reference for later studies.

Автор: Каханер Д., Моулер К., Нэш С.
Название: Численные методы и программное обеспечение
Издательство: М:, Мир
Год: 2001
Страниц: 575
Формат: DJVU, PDF
Размер: 10 МБ

Книга американских специалистов, представляющая собой расширенный и существенно переработанный вариант известной книги Форсайт Дж., Малькольм М., Моулер К. Машинные методы математических вычислений, М:. Мир, 1980. Несмотря на измененный авторский состав, в книге сохранен неформальный стиль изложения, помогающий читателю освоить современное программное обеспечение по численным методам...

Название: Applications of Fuzzy Theory in Applied Sciences and Computer Applications
Автор: Animesh Kumar Sharma
Издательство: Nova Science Publishers
Год: 2024
Страниц: 184
Язык: английский
Формат: pdf (true)
Размер: 22.0 MB

In the realm of Computational Intelligence, the age-old adage, “not everything is black and white,” has never been more pertinent. Through the lens of fuzzy logic and neutrosophic systems, Applications of Fuzzy Theory in Applied Sciences and Computer Applications unravels the complex tapestry of uncertainty, imprecision, and subjectivity in real-world scenarios. This book stands as a testament to the power of fuzzy systems in bridging the gap between theoretical concepts and their pragmatic applications. Chapter one introduces readers to the ever-evolving realm of biometrics, specifically focusing on face recognition. The complexities of human features demand a system that can navigate the nuances, and fuzzy pattern recognition presents a promising solution. Diving deeper into the world of health and demography in chapter two, the authors explore the potential of fuzzy inference systems in mortality studies. By incorporating a degree of uncertainty, these systems offer a more holistic view of mortality trends and predictions. From biometrics and health, we shift our focus to the mathematical underpinnings of neutrosophic logic in chapter three. The method of recognizing various faces in videos or pictures is known as face recognition. It is essential for picture searching, security, and biometric authentication. The effectiveness and identification rate of a system for facial recognition are the most important factors to consider while creating the algorithm since, despite the computer’s ability to identify an enormous number of faces quickly, it is less effective than a human being. Numerous face recognition methods, including Eigenfaces, Feature-based, Hidden Markov Model, and Neural Network-based methods, have been suggested in the chapter. The initial three methods primarily involve an extraction of features or a pre-processing stage that is strongly connected to the kind of picture recognition that is needed. Contrarily, the neural network approach may be used for any picture and offers greater precision because it lacks particular information regarding the type of picture. A novel hybrid face recognition algorithm and technique called FPBL (Fuzzy Pattern-Based with Laplacianfaces) aims to increase genuine identification rates while reducing erroneous identification rates.

Название: Kubernetes and Cloud Native Associate (KCNA) Study Guide: In-Depth Exam Prep and Practice
Автор: Adrián González Sánchez, Jorge Valenzuela Jiménez
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 266
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 42.8 MB

Learn how to prepare for—and pass—the Kubernetes and Cloud Native Associate (KCNA) certification exam. This practical guide serves as both a study guide and point of entry for practitioners looking to explore and adopt cloud native technologies. Adrian Gonzalez Sanchez and Jorge Valenzuela Jimenez teach you not only the core technology fundamentals, but also the community and industry that KCNA serves. With the meteoric rise in cloud adoption, cloud native technologies such as Kubernetes have become the de facto industry standard. Other Kubernetes certifications—including KCSA, CKAD, CKA, and CKS—are all geared toward higher-level technical proficiency. The KCNA is the entry door to your cloud native journey, and the certification exam covers the cloud native environment generally as well as fundamental Kubernetes skills and knowledge. KCNA is a multiple-choice, entry-level exam and offers everyone from students to those looking to make a career change a way to demonstrate the basic knowledge and skills of cloud native. KCNA will demonstrate a candidate’s basic knowledge of Kubernetes and cloud native technologies, including usage of API and kubectl commands, the high-level Kubernetes architecture, and understanding the ramifications of the cloud native landscape in domains such as security, storage, observability, GitOps, and service mesh.