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 Название: Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Designing and Implementing Solutions (Final Release)
Автор: Nooruddin Abbas Ali
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 361
Язык: английский
Формат: True PDF/True EPUB (Retail Copy)
Размер: 32.6 MB
The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. If you're a data professional, you need to be aligned with your company's business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics on-premises or in the cloud. Pandas is an open source Python package that makes it easy to perform data wrangling in Python. It is built on top of the NumPy library that we discussed in the previous section. Pandas makes it easy to work with data for the purpose of Data Science and data analytics. Just as for NumPy the main object provided by the library was an n-dimensional array, for Pandas the main object is a Pandas DataFrame. TensorFlow was created and made open source by Google. It is one of the most-used platforms worldwide for Machine Learning (ML). TensorFlow has wide-ranging applications, including structured data processing, automated image classification, advanced optical character recognition (OCR), video analysis, and sentiment analysis, to name a few. The primary audience for this book is data professionals and technical managers who want to learn the scientific foundation for predictive analytics and its application in today’s enterprise. The book will allow readers to navigate the life cycle of developing predictive analytics capabilities using multiple frameworks, techniques, and platforms. I assume no prior knowledge on the part of the reader except for a basic understanding of programming in Python, a high-level understanding of foundational mathematics, and a high-level understanding of Amazon Web Services (AWS). | |
Разместил: Ingvar16 1-06-2024, 04:59 | Комментарии: 0 | Подробнее
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 Название: Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice
Автор: Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Издательство: Springer
Год: 2024
Страниц: 128
Язык: английский
Формат: pdf (true), epub
Размер: 32.9 MB
This book presents the current trends in Deep Learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using Deep Learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues. In recent years, there has been a notable transition from rule-based Artificial Intelligence (AI) to Machine-Learning-based AI, with an increasing focus on Deep Learning. Currently, Deep Learning frameworks are at the forefront of AI technology, marking significant advancements in academic and industrial fields. The evolution of deep convolutional neural networks (CNNs) has positioned deep learning as the method of choice for computer vision tasks, including image classification, segmentation, object detection, and human keypoint detection. This surge in Deep Learning has sparked interest in applying Convolutional Neural Networks (CNNs) across various domains, including the task of logo detection. The book is directed to professors, researchers, practitioners in the field of engineering, Computer Science, and related fields as well as anyone interested in using Deep Learning techniques and applications in logo and various object detection tasks. | |
Разместил: Ingvar16 1-06-2024, 03:54 | Комментарии: 0 | Подробнее
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 Название: Kotlin in Action, 2nd Edition (Final)
Автор: Sebastian Aigner, Roman Elizarov, Svetlana Isakova, Dmitry Jemerov
Издательство: Manning Publications
Год: 2024
Страниц: 564
Язык: английский
Формат: epub
Размер: 10.1 MB
Expert guidance and amazing examples from Kotlin core developers! It’s everything you need to get up and running fast.Kotlin in Action, Second Edition takes you from language basics to building production-quality applications that take advantage of Kotlin’s unique features. Discover how the language handles everything from statements and functions to classes and types, and the unique features that make Kotlin programming so seamless. The second edition of Kotlin in Action teaches you the Kotlin programming language and how to use it to build applications running on the Java virtual machine (JVM) and Android. It starts with the basic features of the language and proceeds to cover the more distinctive aspects of Kotlin, such as its support for building high-level abstractions and domain-specific languages. The book also provides the information you need to integrate Kotlin with existing Java projects and helps you introduce Kotlin into your current working environment. The book covers Kotlin 2.0. Kotlin in Action, Second Edition, is primarily focused on developers with some level of Java experience. | |
Разместил: Ingvar16 31-05-2024, 18:16 | Комментарии: 0 | Подробнее
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 Название: Complete Guide to Qwik: Harness Qwik Resumable Architecture for Lightning-Fast Startup Times
Автор: Giorgio Boa, Ari Lerner
Издательство: newline, Leanpub
Год: 2024-05-22
Страниц: 255
Язык: английский
Формат: pdf (true), epub + code
Размер: 51.4 MB
The Complete Guide to Qwik is a 350+ page, comprehensive book, with a detailed path designed for anyone to master this framework. Packed with practical examples and analyzing details that cover exactly how Qwik works, you will be able to create your own large-scale instant application with Qwik. The problem with modern frameworks is that as the complexity of the application increases the loading speed degrades. Therefore, having underperforming applications, the user experience is also unsatisfactory. The developers themselves will be slowed down by a framework that doesn't help them in their day-to-day work. New Mental Model: Qwik has a completely new design and mental model approach. This new paradigm allows you to create a successful application for your domain that you otherwise would not be able to have. Qwik is unique compared to other frameworks. This framework can send the browser a static page consisting only of HTML and CSS and 1KB of javascript. This almost magically makes the application interactive immediately upon startup. However, it’s worth delving a little deeper into this because, behind every magic trick, there’s a trick. With modern connections, a page containing HTML and CSS is undoubtedly efficient and speedy. It would be the ideal situation, but unfortunately, interactivity is needed, which requires javascript. | |
Разместил: Ingvar16 31-05-2024, 14:38 | Комментарии: 0 | Подробнее
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 Название: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data (Third Early Release)
Автор: Suneeta Mall
Издательство: O’Reilly Media, Inc.
Год: 2024-05-24
Страниц: 458
Язык: английский
Формат: epub
Размер: 15.8 MB
Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack Deep Learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack Deep Learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. This book aims to help you develop a deeper knowledge of the Deep Learning stack—specifically, how Deep Learning interfaces with hardware, software, and data. It will serve as a valuable resource when you want to scale your Deep Learning model, either by expanding the hardware resources or by adding larger volumes of data or increasing the capacity of the model itself. This book is written for Machine Learning practitioners from all walks of life: engineers, data engineers, MLOps, Deep Learning scientists, Machine Learning engineers, and others interested in learning about model development at scale. It assumes that the reader already has a fundamental knowledge of deep learning concepts such as optimizers, learning objectives and loss functions, and model assembly and compilation, as well as some experience with model development. Familiarity with Python and PyTorch is also essential for the practical sections of the book. | |
Разместил: Ingvar16 31-05-2024, 05:06 | Комментарии: 0 | Подробнее
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 Название: Intelligent Algorithms: Theory and Practice
Автор: Han Huang, Zhifeng Hao
Издательство: Elsevier/China Machine Press
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 23.3 MB
The Theory and Practice of Intelligent Algorithms discusses the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms. In five chapters, the book covers (1) New methods of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3) Application of intelligent algorithms in logistics scheduling; (4) Application of intelligent algorithms in software testing; and (5) Application of intelligent algorithm in multi-objective optimization. Intelligent algorithms are the algorithmic forms of computational intelligence methods. These algorithms are the common technical methods used by Artificial Intelligence (AI) in intelligent perception, intelligent decision-making, and intelligent planning. At this stage, intelligent algorithms are usually manifested as evolutionary computation, swarm intelligence, Machine Learning, other algorithms, and their combinations. Existing literature on intelligent algorithms focuses on theories, methods, and simulation experiments, leaving practical applications underexplored, especially the application of cutting-edge research in Artificial Intelligence. This book aims to serve as a reference book with practical cases for practitioners of intelligent algorithms based on cutting-edge research results. | |
Разместил: Ingvar16 31-05-2024, 03:10 | Комментарии: 0 | Подробнее
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 Название: Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and javascript, 3rd Edition (Fourth Early Release)
Автор: Harry J.W. Percival
Издательство: O’Reilly Media, Inc.
Год: 2024-05-16
Страниц: 198
Язык: английский
Формат: epub
Размер: 10.1 MB
The third edition of this trusted guide demonstrates the practical advantages of test-driven development (TDD) with Python and describes how to develop a real web application. You'll learn how to write and run tests before building each part of your app and then develop the minimum amount of code required to pass those tests. In the process, author Harry Percival teaches software and web developers the basics of Django, Selenium, Git, javascript, and Mock libraries, along with current web development techniques. This book—updated for Python 3.11 and Django 4—clearly demonstrates how TDD encourages simple designs and inspires confidence. My main aim is to impart a methodology — a way of doing web development, which I think makes for better web apps and happier developers. There’s not much point in a book that just covers material you could find by Googling, so this book isn’t a guide to Python syntax, or a tutorial on web development per se. Instead, I hope to teach you how to use TDD to get more reliably to our shared, holy goal: clean code that works. | |
Разместил: Ingvar16 30-05-2024, 19:31 | Комментарии: 0 | Подробнее
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 Название: Ultimate Microservices with RabbitMQ: Master Microservices Architecture and RabbitMQ Integration to Build Scalable, Resilient Systems, and to Drive Innovation in Software Development
Автор: Peter Morlion
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 232
Язык: английский
Формат: epub (true)
Размер: 76.1 MB
Learn the ins and outs of a RabbitMQ-enabled microservices system. Embark on a transformative journey into the world of microservices architecture with 'Ultimate Microservices with RabbitMQ'. This comprehensive resource equips you with the knowledge and tools needed to design, deploy, and manage scalable microservices architectures using RabbitMQ as a messaging backbone. From laying the groundwork with foundational concepts to implementing advanced techniques, this book covers everything you need to know to build resilient and high-performing microservices-based systems. It dives into the intricacies of RabbitMQ messaging to leverage its capabilities to facilitate communication and data exchange across distributed systems. You will discover best practices for designing scalable and fault-tolerant microservices architectures, and gain insights into effective integration strategies. The book will help you learn to combine microservices and RabbitMQ for designing, building and maintaining robust architectures that leverage the strengths of both paradigms. By the end of this book, you will be primed to navigate the complexities of modern software development with confidence, driving innovation and efficiency in professional endeavors. This book is tailored for software developers, architects, and engineering managers intrigued by microservices and messaging with RabbitMQ. | |
Разместил: Ingvar16 30-05-2024, 16:00 | Комментарии: 0 | Подробнее
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 Название: Federated Learning: Principles, Paradigms, and Applications
Автор: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K. Nair
Издательство: Apple Academic Press, CRC Press
Год: 2025
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB
This new book provides an in-depth understanding of Federated Learning, a new and increasingly popular learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. The volume explores how Federated Learning (FL) integrates AI technologies, such as blockchain, Machine Learning, IoT, edge computing, and fog computing systems, allowing multiple collaborators to build a robust Machine Learning model using a large dataset. It highlights the capabilities and benefits of Federated Learning, addressing critical issues such as data privacy, data security, data access rights, and access to heterogeneous data. The volume first introduces the general concepts of Machine Learning and then summarizes the Federated Learning system setup and its associated terminologies. It also presents a basic classification of FL, the application of FL for various distributed computing scenarios, an integrated view of applications of software-defined networks, etc. The book also explores the role of Federated Learning in the Internet of Medical Things systems as well. The book provides a pragmatic analysis of strategies for developing a communication-efficient Federated Learning system. It also details the applicability of blockchain with Federated Learning on IoT-based systems. It provides an in-depth study of FL-based intrusion detection systems, discussing their taxonomy and functioning and showcasing their superiority over existing systems. The book is unique in that it evaluates the privacy and security aspects in FL. The volume presents a comprehensive analysis of some of the common challenges, proven threats, and attack strategies affecting FL systems. Special coverage on protected shot-based Federated Learning for facial expression recognition is also included. | |
Разместил: Ingvar16 30-05-2024, 15:24 | Комментарии: 0 | Подробнее
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 Название: Computer Vision: Challenges, Trends, and Opportunities
Автор: Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley
Издательство: CRC Press
Год: 2025
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 51.7 MB
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision was a curiosity research field. Today, after five decades of research and development that include periods with both good and struggling progress, Computer Vision has found its applications everywhere from everyday cell phones to securities, entertainment, robotics, industrial, medical, and military domains. Advanced imaging sensors produce high-resolution images and videos at a high frame rate, even in 3D. High-performance low-power computers execute computation-hungry vision algorithms even in handheld devices. And, of course, Deep Neural Net Learning played the most critical role to turn Computer Vision into an amazingly impactful technology. | |
Разместил: Ingvar16 30-05-2024, 05:30 | Комментарии: 0 | Подробнее
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