Название: Generative AI : Navigating the Course to the Artificial General Intelligence Future
Автор: Martin Musiol
Издательство: Wiley
Год: 2024
Страниц: 435
Язык: английский
Формат: pdf (true), epub
Размер: 28.6 MB

An engaging and essential discussion of generative Artificial Intelligence. In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol―founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys―delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. AI can perform tasks ranging from predefined expert answers, also known as expert systems, to tasks that require human-level intelligence. Think about recognizing speech and images, understanding natural language processing (NLP), making sophisticated decisions, and solving complex problems. For tasks like this, the AI has to train on a respective dataset until it is able to perform the desired activity as well as possible. This self-learning part of AI is referred to as machine learning (ML). Because most of the interesting applications are happening through machine learning in one way or another, and to keep it simple, we use AI and ML interchangeably.

Название: Machine Learning in Medical Imaging and Computer Vision
Автор: Amita Nandal, Liang Zhou, Arvind Dhaka, Todor Ganchev
Издательство: The Institution of Engineering and Technology
Год: 2024
Страниц: 382
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With Machine Learning techniques becoming more prevalent in healthcare, algorithms can be trained to identify healthy or unhealthy tissues and quickly differentiate between the two. Statistical models can be used to process numerous images of the same type in a fraction of the time it would take a human to assess the same quantity, saving time and money in aiding practitioners in their assessment. This edited book discusses feature extraction processes, reviews Deep Learning methods for medical segmentation tasks, outlines optimisation algorithms and regularisation techniques, illustrates image classification and retrieval systems, and highlights text recognition tools, game theory, and the detection of misinformation for improving healthcare provision. Machine Learning in Medical Imaging and Computer Vision provides state of the art research on the integration of new and emerging technologies for the medical imaging processing and analysis fields. This book outlines future directions for increasing the efficiency of conventional imaging models to achieve better performance in diagnoses as well as in the characterization of complex pathological conditions. Medical imaging is increasingly using Machine Learning and computer vision. Deep Learning allows convolutional neural networks (CNNs) to classify, segment, and identify medical images. This has allowed the creation of new tools and apps to aid in illness detection and treatment. This discipline studies deep learning-enabled medical computer vision, Machine Learning for medical image analysis, and personalized medicine using image processing, computer vision, and Machine Learning.

Название: Professional C++, 6th Edition
Автор: Marc Gregoire
Издательство: Wiley
Год: 2024
Страниц: 1379
Язык: английский
Формат: pdf (true), epub
Размер: 16.9 MB

Expand your C++ toolkit quickly and efficiently with this advanced resource. In the newly revised sixth edition of Professional C++, veteran software engineer and developer Marc Gregoire delivers yet another volume that raises the bar for advanced programming manuals. Covering the major new revisions contained in the new C++ standard codenamed C++23, the book offers case studies with working code that’s been tested in Windows and Linux. All in all, with the release of C++23 in 2023, C++ is almost 40 years old and still going strong. In most rankings of programming languages in 2023, C++ is in the top four. It is being used on an extremely wide range of hardware, going from small devices with embedded microprocessors all the way up to multi-rack supercomputers. Besides wide hardware support, C++ can be used to tackle almost any programming job, be it games on mobile platforms, performance-critical artificial intelligence (AI) and machine learning (ML) software, components for self-driving cars, real-time 3-D graphics engines, low-level hardware drivers, entire operating systems, software stacks for networking equipment, web browsers, and so on. The performance of C++ programs is hard to match with any other programming language, and as such, it is the de facto language for writing fast, powerful, and enterprise-class programs. Even if you have used the language for years, you might still be unfamiliar with the more advanced features of C++, or you might not be using the full capabilities of the language. Maybe you don't yet know all the new features introduced with the latest release, C++23. Perhaps you write competent C++ code but would like to learn more about design and good programming style in C++. Or maybe you're relatively new to C++ but want to learn the “right” way to program from the start. This book will meet those needs and bring your C++ skills to the professional level.

Название: Computer Vision: Object Detection In Adversarial Vision
Автор: Mrinal Kanti Bhowmik
Издательство: CRC Press
Год: 2024
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 81.2 MB

This comprehensive textbook presents a broad review of both traditional (i.e., conventional) and Deep Learning aspects of object detection in various adversarial real-world conditions in a clear, insightful, and highly comprehensive style. Beginning with the relation of computer vision and object detection, the text covers the various representation of objects, applications of object detection, and real-world challenges faced by the research community for object detection task. The book addresses various real-world degradations and artifacts for the object detection task and also highlights the impacts of artifacts in the object detection problems. The book covers various imaging modalities and benchmark datasets mostly adopted by the research community for solving various aspects of object detection tasks. The book also collects together solutions and perspectives proposed by the preeminent researchers in the field, addressing not only the background of visibility enhancement but also techniques proposed in the literature for visibility enhancement of scenes and detection of objects in various representative real-world challenges. Computer Vision: Object Detection in Adversarial Vision is unique for its diverse content, clear presentation, and overall completeness. It provides a clear, practical, and detailed introduction and advancement of object detection in various representative challenging real-world conditions. Contains various hands-on practical examples and a tutorial for solving object detection problems using Python.

Название: Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Автор: Nabanita Dash
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 484
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence! This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with Machine Learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results. The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of Data Science and Machine Learning. In this book, we embark on a journey that explores the powerful intersection of Julia, a high-performance programming language, and the transformative fields of machine learning and data analysis. As technology continues to evolve, the ability to harness and interpret vast amounts of data becomes increasingly crucial. Julia, with its speed, simplicity, and expressive syntax, emerges as an ideal language for tackling the challenges posed by the ever-growing datasets and complex algorithms in these domains.

Название: Epic Python Coding: Interactive Coding Adventures for Kids
Автор: Mike Gold
Издательство: Leanpub
Год: 2024-01-02
Страниц: 94
Язык: английский
Формат: pdf (true), epub
Размер: 37.7 MB

Dive into Epic Python Coding! This fun, easy-to-follow guide introduces kids to Python coding. From basic concepts to creating their own game, it's the perfect start for young tech adventurers. Spark creativity and problem-solving skills in the exciting world of programming! Embark on an amazing coding adventure with Epic Python Coding – the perfect guide for kids eager to start their journey into the world of programming. Tailored for 4th graders and up, this book simplifies Python into fun, bite-sized lessons that spark creativity and critical thinking. This book isn't just for young coders; it’s a resource for you too. With a dedicated guide, you can support your kids or students as they learn and grow in their coding skills. Test your new skills with additional exercises and mini-projects. There's always more to learn and explore! Epic Python Coding isn't just a book; it's a doorway to imagination, problem-solving, and a foundational skill that could shape your child's future. Start this exciting journey today and watch young minds turn into tomorrow's tech wizards!

Название: Оптимизация в среде MATLAB: учебное пособие
Автор: Гольдштейн А.Л.
Издательство: Пермь: Изд-во Пермского национального исследовательского политехнического университета
Год: 2015
Страниц: 192
Формат: djvu
Размер: 22,5 Мб
Язык: Русский

Функции, которые реализуют определенные операции и алгоритмы, являются основным инструментом системы компьютерной математики Matlab. В учебном пособии подробно описаны функции пакетов расширения Toolbox Optimization и Toolbox Global Optimization.

Название: AI Mastery Trilogy: A Comprehensive Guide to AI Basics for Managers, Essential Mathematics for AI, and Coding Practices for Modern Programmers in the AI Era (3-in-1 Collection)(AI Fundamentals)
Автор: Andrew Hinton
Издательство: Book Bound Studios
Год: 2024
Страниц: 436
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB

Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and Machine Learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike.

Название: Forex with Python: A Comprehensive Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf
Размер: 25.4 MB

Embark on a journey through the electric world of forex trading with "Forex Trading with Python" at your side. This cutting-edge guide bridges the gap between the dynamic realm of currency exchange and the powerful tools of Python programming to offer traders and finance professionals an unparalleled edge in the market. Unlock the secrets of the forex market, a place where fortunes are made and lost with the fluctuation of exchange rates, and where split-second decisions underpin successful trading strategies. This book is your key to understanding how to harness the abilities of Python and Jupyter Notebooks to delve into this high-stakes world, analyzing trends, and making informed choices that can lead to substantial gains. Whether you are a seasoned financial analyst seeking to upskill with Python or a burgeoning trader set on mastering the most modern techniques in forex trading, "Forex Trading with Python" is your definitive guide to understanding, developing, and deploying analytical tools that can tackle the complexity of currency markets. Let this comprehensive manual show you how to combine the analytical power of Python with a deep understanding of the forex landscape to develop strategies that can evolve with the market. Take your first step towards mastering the digital pulse of global forex trading, and watch as the code you write transforms into the currency you earn.

Название: Python AI Programming: Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Автор: Patrick J
Издательство: GitforGits
Год: 2024
Страниц: 295
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book aspires young graduates and programmers to become AI engineers and enter the world of Artificial Intelligence (AI) by combining powerful Python programming with Artificial Intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to Machine Learning, where readers learn to implement Python in developing predictive models. The book provides a clear and accessible explanation of Machine Learning, incorporating practical examples and exercises that strengthen understanding. We go deep into Deep Learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing (NLP) is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered. Our adventure starts with a detailed overview of Python's principles, revealing how this language is the ideal toolkit for aspiring AI practitioners. As we progress, the domains of Machine Learning and Deep Learning unveil themselves, illustrating how Python's libraries and frameworks are crucial in pioneering advances in these fields. Each chapter advances your AI learning curve, from the fundamentals of data management to the complexity of neural networks.