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.

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.

Название: Writing AI Prompts For Dummies
Автор: Stephanie Diamond
Издательство: For Dummies
Год: 2024
Страниц: 291
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.3 MB

Learn the art of writing effective AI prompts and break into an exciting new career field. Unlock the full power of generative AI with Writing AI Prompts For Dummies, a comprehensive guide that will teach you how to confidentially write effective AI prompts. Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results. Artificial Intelligence (AI) is revolutionizing the way we live and work at an astonishing rate. Whether you’re a marketer who wants to use AI to enhance brand awareness, a content creator who wants to improve your portfolio, or just someone curious about AI, you need to start by learning how to develop effective AI prompts. Prompts are specific instructions given to an AI tool by a user to get a particular response. This resource is brimming with expert guidance and will help you write AI prompts that achieve your objectives. Whether you're a marketer, educator, artist, or entrepreneur, Writing AI Prompts For Dummies is your indispensable guide for leveraging AI to its fullest potential. Get ready to harness the power of Artificial Intelligence and spark a revolution in your creative and professional efforts.

Название: Задачи по программированию
Автор: Окулов С.М., Ашихмина Т.В., Бушмелева Н.А., Корчёмкин М.А.
Издательство: Лаборатория знаний
Год: 2017 - 3-е изд.
Cтраниц: 826
Формат: pdf (ocr)
Размер: 16 мб
Язык: русский

Книга содержит большой набор задач по программированию различного уровня сложности, что позволит преподавателю проводить занятия с абитуриентами и студентами с разным уровнем начальной подготовки, практически формируя для них индивидуальные образовательные траектории.

Название: Artificial Intelligence in Medicine
Автор: Thompson Stephan
Издательство: CRC Press
Год: 2025
Страниц: 265
Язык: английский
Формат: pdf (true)
Размер: 26.7 MB

In the ever-evolving realm of healthcare, Artificial Intelligence in Medicine emerges as a trailblazing guide, offering an extensive exploration of the transformative power of Artificial Intelligence (AI). Crafted by leading experts in the field, this book sets out to bridge the gap between theoretical understanding and practical application, presenting a comprehensive journey through the foundational principles, cutting-edge applications, and the potential impact of AI in the medical landscape. This book embarks on a journey from foundational principles to advanced applications, presenting a holistic perspective on the integration of AI into diverse aspects of medicine. With a clear aim to cater to both researchers and practitioners, the scope extends from fundamental AI techniques to their innovative applications in disease detection, prediction, and patient care. Distinguished by its practical orientation, each chapter presents actionable workflows, making theoretical concepts directly applicable to real-world medical scenarios. This unique approach sets the book apart, making it an invaluable resource for learners and practitioners alike. This book caters to researchers, practitioners, and students in medicine, Computer Science, and healthcare technology. With a focus on practical applications, this book is an essential guide for navigating the dynamic intersection of AI and medicine. Whether you are an expert or a newcomer to the field, this comprehensive volume provides a roadmap to the revolutionary impact of AI on the future of healthcare.

Название: Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulation, the complete guide to mastering
Автор: Cuantum Technologies
Издательство: Cuantum Technologies
Серия: Mastering Python Programming from Scratch
Год: 2023
Страниц: 516
Язык: английский
Формат: epub
Размер: 16.1 MB

Are you eager to break into the thrilling world of data analysis? Do you want to master Python, the leading programming language for data science, and SQL, the gold standard for managing relational databases? Your search ends here. Welcome to "Python and SQL Bible: From Beginner to World Expert", the only resource you need to navigate the versatile landscapes of Python and SQL, the powerful data duo. Enter the exciting world of data with Python and SQL! Unleash the true potential of data analysis and manipulation. Dive into the intricate yet thrilling journey of data discovery, processing, and storytelling. With "Python and SQL Bible: From Beginner to World Expert", you'll explore the fascinating world of data analysis and become a master of these two powerful tools. Python is renowned for its simplicity, versatility, and power. Its syntax is easy to understand, making it an ideal language for beginners. Yet its capabilities are vast. From web development to artificial intelligence, from automation scripts to complex data analyses, Python has found its place in every domain. Python's simplicity does not make it a simplistic language; rather, it is a doorway to an incredibly diverse and complex universe of possibilities. This book is designed to take you from a beginner-level to a world expert in Python and SQL. You'll learn how to harness the power of Python's flexibility and SQL's structured accuracy to extract, clean, analyze, and visualize data.

Название: Python and Algorithmic Thinking for the Complete Beginner (3rd Edition): Learn to Think Like a Programmer
Автор: Aristides S. Bouras
Издательство: Independently published
Год: 2024
Страниц: 648
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Completely updated for the latest version of Python, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals eager to learn Python from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Python is a widely used general-purpose, high-level computer programming language that allows programmers to create applications, web pages, and many other types of software. Python is often referred to as a scripting language despite the fact that the official website says that it's a programming language. The truth, of course, is somewhere in the middle. Python can be used either as a scripting language, or a programming language!

Название: Introduction to Algorithms: A Comprehensive Guide for Beginners: Unlocking Computational Thinking
Автор: Cuantum Technologies
Издательство: Cuantum Technologies
Год: 2023
Страниц: 267
Язык: английский
Формат: epub
Размер: 10.1 MB

Unlock the world of algorithms and discover how to harness their power to solve complex problems with "Introduction to Algorithms: A Comprehensive Guide for Beginners". This immersive guide reveals the importance of algorithms and how they function in our daily digital lives. Whether you are a beginner to Computer Science, a student delving into data analysis, a professional aiming to elevate their problem-solving skills, or simply a curious learner fascinated by logic and patterns, this book is for you. As it takes you on a journey through various types of algorithms, their applications, and how to implement them efficiently, it demystifies the often intimidating world of algorithmic thinking. This book starts with the basics, gradually escalating complexity with each chapter. You'll first understand what algorithms are and why they are essential. As you progress, you will explore different types of algorithms, their strengths, weaknesses, and the contexts where they shine. With engaging real-world applications, this book demonstrates how these robust tools are utilized in diverse fields such as Computer Science, data analysis, Artificial Intelligence, and more. Embrace the opportunity to understand and master algorithms. Add "Introduction to Algorithms: A Comprehensive Guide for Beginners" to your cart now and embark on this enlightening journey to become an adept problem-solver. No prerequisite knowledge is required, just your curiosity and willingness to learn. Join the ranks of readers who have unlocked the power of algorithms and are leveraging it to revolutionize their problem-solving abilities.

Название: MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
Автор: Hien Luu, Max Pumperla, Zhe Zhang
Издательство: Apress
Год: 2024
Страниц: 342
Язык: английский
Формат: pdf
Размер: 10.1 MB

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing Machine Learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate Machine Learning into their processes and products to improve their competitiveness. The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale Machine Learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack. Once data scientists have access to the needed dataset or available features, they will start analyzing them and evaluating whether they are suitable for the ML task at hand. To perform medium- to large-scale data analysis, they will need access to compute resources beyond their laptop so those data crunching needs will be completed in a short amount of time. This is where distributed data computation engines come into the picture. Examples of these engines are Apache Spark, Dask, and Ray. Ray is a compute framework to enable efficient distributed execution of Python and AI workloads, boasting a simple programming model and automatic parallelization. For Machine learning practitioners, data scientists, and software engineers who are focusing on building Machine Learning systems and infrastructure to bring ML models to production.