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 Название: Industrial Recommender System: Principles, Technologies and Enterprise Applications
Автор: Lantao Hu, Yueting Li, Guangfan Cui, Kexin Yi
Издательство: Springer/Publishing House of Electronics Industry
Год: 2024
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 54.0 MB
Recommender systems, as a highly popular Artificial Intelligence (AI) technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises. The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as Reinforcement Learning, causal inference. Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in Artificial Intelligence, Computer Science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems. | |
Разместил: Ingvar16 2-06-2024, 13:55 | Комментарии: 0 | Подробнее
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 Название: Large Language Models in Cybersecurity: Threats, Exposure and Mitigation
Автор: Andrei Kucharavy, Octave Plancherel, Valentin Mulder, Alain Mermoud
Издательство: Springer
Год: 2024
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB
This book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. While the general public discovered Large Language Models (LLMs) with ChatGPT—a generative autoregressive model, they are far from the only models in the LLM family. Various architectures and training regiments optimized for specific usages were designed throughout their development, which were then classified as different LLM families. | |
Разместил: Ingvar16 1-06-2024, 18:36 | Комментарии: 0 | Подробнее
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 Название: Ultimate Pentesting for Web Applications: Unlock Advanced Web App Security Through Penetration Testing Using Burp Suite, Zap Proxy, Fiddler, Charles Proxy, and Python for Robust Defense
Автор: Rohit Gautam, Shifa Cyclewala
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 747
Язык: английский
Формат: pdf, epub
Размер: 17.3 MB
Discover the essential tools and insights to safeguard your digital assets with the "Ultimate Pentesting for Web Applications". This essential resource comprehensively covers ethical hacking fundamentals to advanced testing methodologies, making it a one-stop resource for web application security knowledge. Delve into the intricacies of security testing in web applications, exploring powerful tools like Burp Suite, ZAP Proxy, Fiddler, and Charles Proxy. Real-world case studies dissect recent security breaches, offering practical insights into identifying vulnerabilities and fortifying web applications against attacks. This handbook provides step-by-step tutorials, insightful discussions, and actionable advice, serving as a trusted companion for individuals engaged in web application security. Each chapter covers vital topics, from creating ethical hacking environments to incorporating proxy tools into web browsers. It offers essential knowledge and practical skills to navigate the intricate cybersecurity landscape confidently. By the end of this book, you will gain the expertise to identify, prevent, and address cyber threats, bolstering the resilience of web applications in the modern digital era. Using scripting languages like Python or Bash, security professionals can create custom scripts that mimic the behavior of web crawlers but with added intelligence. These scripts can adapt to unique scenarios and uncover hidden content more effectively. | |
Разместил: Ingvar16 1-06-2024, 16:34 | Комментарии: 0 | Подробнее
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Название: Продвинутый python: заряди свои батарейки
Автор: Артем Егоров
Издательство: Stepik
Год: 2024
Формат: HTML
Страниц: много
Размер: 420 Mb
Язык: Русский
Данный курс позволит вам познакомиться со всеми основными модулями стандартной библиотеке python (за исключением модулей asyncio, multiprocessing, threading) Вы получите массу новых знаний, решите уйму задач на программирование, причем задания будут как по написанию функций, так и созданию классов, что требует знание ООП. Курс позволит выйти вам на новый уровень. Особенность его заключается в практической направленности: практически в каждом разделе мы будем применять полученные знания и вы научитесь работать с файловой системой, отправлять письма, научитесь логированию и многому другому, что будет полезно для вас.
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Разместил: Chipa 1-06-2024, 15:46 | Комментарии: 0 | Подробнее
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 Название: Embedding Artificial Intelligence into ERP Software: A Conceptual View on Business AI with Examples from SAP S/4HANA
Автор: Siar Sarferaz
Издательство: Springer
Год: 2024
Страниц: 436
Язык: английский
Формат: pdf (true), epub
Размер: 57.5 MB
This book explains how to embed Artificial Intelligence (AI) in digitized business processes of ERP software by solving the two related substantial challenges: how can Artificial Intelligence be systematically integrated into ERP business processes for ease of consumption, and how can Artificial Intelligence be made enterprise-ready by covering ERP qualities like compliance, lifecycle management, extensibility, or scalability? As a general introduction, the first part of this book takes the reader through a historical journey towards intelligent ERP systems. In addition, reference processes and a reference architecture for ERP systems are proposed which build the foundation for the suggested subsequent solution concept, including a method for operationalizing intelligence for ERP business processes. Subsequently, in the second part detailed concepts of embedding Artificial Intelligence into ERP software are proposed. In this context the suggested solution architecture is depicted, and specific topics are resolved like data integration, model validation, explainability, data protection and privacy, model degradation and performance. In the last part an implementation framework is suggested which enables the previously introduced concepts and harmonizes the development and operations of Artificial Intelligence ERP applications. This part concludes with case studies considering Artificial Intelligence scenarios of SAP S/4HANA in the areas of logistics, finance and sales which apply the defined solution approach and shows its real-world feasibility. In the context of ERP systems, Artificial Intelligence is utilized to imbue business processes with intelligence, increasing the automation and optimization levels. Data Science techniques are applied for this purpose. | |
Разместил: Ingvar16 1-06-2024, 14:48 | Комментарии: 0 | Подробнее
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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, 05:06 | 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, 03:55 | 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, 18:18 | 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 jаvascript. 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 jаvascript. | |
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, 05:09 | Комментарии: 0 | Подробнее
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