Название: Ultimate Linux Network Security for Enterprises: Master Effective and Advanced Cybersecurity Techniques to Safeguard Linux Networks and Manage Enterprise-Level Network Services
Автор: Adarsh Kant
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 277
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Level Up Your Security Skills with Linux Expertise!" The Ultimate Linux Network Security for Enterprises is your essential companion to mastering advanced cybersecurity techniques tailored for Linux systems. The book provides a comprehensive exploration of Linux network security, equipping you with the skills and knowledge needed to defend against evolving cyber threats. Through hands-on exercises, real-world scenarios, and industry best practices, this book empowers you to fortify your organization's networks with confidence. Discover practical insights and techniques that transcend theoretical knowledge, enabling you to apply effective cybersecurity strategies in your job role. From understanding fundamental concepts to implementing robust security measures, each chapter provides invaluable insights into securing Linux-based networks. Learning the basics of Linux gives you access to a stable and adaptable operating system that powers a large portion of the internet. Reputable for its dependability, security, and open-source status, Linux forms the basis of a wide range of applications, including embedded systems and servers. We will explore the fundamental ideas that underpin Linux in this introductory tour, dissecting its file system design, command-line interface, and necessary tools. We will also deconstruct the fundamental ideas that underpin computer networking.

Название: Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale (5th Early Release)
Автор: Gaurav Ashok Thalpati
Издательство: O’Reilly Media, Inc.
Год: 2024-05-16
Страниц: 238
Язык: английский
Формат: epub
Размер: 14.3 MB

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Lakehouse architecture is one such modern architectural pattern that has evolved in the last few years. It has become a popular choice for data architects who are designing data platforms. In the Chapter 1, I’ll introduce you to fundamental concepts related to data architecture, data platform and its core components, and how data architecture helps build a data platform. Once you have understood these, I’ll explain why there is a need for new architectural patterns like lakehouse, lakehouse fundamentals, its characteristics, and the benefits of implementing a data platform using lakehouse architecture. I’ll conclude the chapter with key takeaways to summarize everything we discuss and help you remember the key points while reading the subsequent chapters in this book.

Название: Learning From dаta: An Introduction to Statistical Reasoning using JASP, 4th Edition
Автор: Arthur M. Glenberg, Matthew E. Andrzejewski
Издательство: Routledge
Год: 2025
Страниц: 545
Язык: английский
Формат: pdf (true)
Размер: 31.4 MB

This fully updated 4th edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three important new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks such as constructing grouped frequency distributions, making violin plots, conducting inferential statistical tests, and creating confidence intervals. Second, reflecting the growing use of Bayesian analyses in the professional literature, this edition includes a chapter with an introduction to Bayesian statistics (also using JASP). Third, the revised text incorporates adjunct questions, that is, questions that challenge the student’s understanding, after each major section. Cognitive psychology has demonstrated how adjunct questions and related techniques such as self-explanation can greatly improve comprehension. With comprehensive digital resources, including large data sets integrated throughout the textbook, and files for conducting analysis in JASP, this is an essential text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.

Название: Data-Driven Modelling and Predictive Analytics in Business and Finance
Автор: Alex Khang, Rashmi Gujrati, Hayri Uygun, R.K. Tailor, Sanjaya Singh Gaur
Издательство: CRC Press
Серия: Advances in Computational Collective Intelligence
Год: 2025
Страниц: 443
Язык: английский
Формат: pdf (true)
Размер: 18.9 MB

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data analytics is the process of examining, cleaning, transforming and interpreting data to uncover meaningful patterns, trends and insights. It involves the use of statistical and computational techniques to analyze data and extract valuable information. Data analytics can be categorized into four main types: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. The commonly used tools and applications in data analytics include the following: • Excel: Microsoft Excel is a widely used tool for data analysis due to its user-​friendly interface and familiar spreadsheet format. • SQL: Structured Query Language (SQL) is essential for working with databases. SQL allows you to extract, manipulate, and analyze data from relational databases using queries. • Python: Python is a versatile programming language commonly used in data analytics. It offers numerous libraries and frameworks for data manipulation (e.g., Pandas), numerical computation (e.g., NumPy), and data visualization (e.g., Matplotlib and Seaborn). Python also has powerful Machine Learning libraries such as Scikit-​learn and TensorFlow.

Название: Основы визуализации данных. Пособие по эффективной и убедительной подаче информации
Автор: Клаус Уилке
Издательство: Бомбора
Год: 2024
Формат: PDF
Страниц: 354
Размер: 18 Mb
Язык: Русский

Материал книги выстроен в логической последовательности, однако большинство глав можно читать как самостоятельный текст – вам необязательно штудировать книгу от корки до корки. Не стесняйтесь переходить от части к части, чтобы выбрать наиболее интересный для вас раздел или тот, который посвящен тому типу дизайна, над которым вы сейчас работаете.

Название: Windows 11 Tricks and Tips - 11th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 32.8 MB

Windows 11 Tips and Tricks - это универсальное руководство для новичков в работе с настольными и портативными компьютерами, а также для тех, кто хочет узнать все, что нужно для начала работы с операционной системой Microsoft. Написанное простым английским языком, это отдельное руководство содержит множество полезных советов и пошаговых инструкций. Вы узнаете все, что вам нужно знать о компьютерах и приложениях, познакомившись с операционной системой, под управлением которой работает ваш компьютер или приложение. С помощью этого неофициального руководства вы сможете изучить и освоить Windows 11 и будете готовы к решению любых задач.

Название: Learning Kali Linux: Security Testing, Penetration Testing & Ethical Hacking, Second Edition (4th Early Release)
Автор: Ric Messier
Издательство: O’Reilly Media, Inc.
Год: 2024-05-17
Страниц: 432
Язык: английский
Формат: epub
Размер: 19.0 MB

With hundreds of tools preinstalled, the Kali Linux distribution makes it easier for penetration testers and other professionals to get started with security testing quickly. But with more than 600 tools in its arsenal, the Kali Linux can also be overwhelming. The new edition of this practical book covers updates to the tools, including deeper coverage of reverse engineering. Kali Linux is a distribution that is specifically tailored to a particular type of user— those who are interested in information security and the range of capabilities that fall under that incredibly broad umbrella. Kali Linux, as a distribution focused on security functions, falls into the desktop category, and there is no intention to limit the number of packages that are installed to make Kali harder to attack. Someone focused on security testing will probably need a wide variety of software packages, and Kali loads their distribution out of the gate. This may seem mildly ironic, considering distributions that focus on keeping their systems safe from attack (sometimes mistakenly called secure) tend to limit the packages through a process called hardening. Kali, though, is focused on testing, rather than keeping the distribution safe from attack.

Название: Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks
Автор: Aswini Kumar Samantaray, Amol D. Rahulkar
Издательство: Springer
Год: 2024
Страниц: 162
Язык: английский
Формат: pdf (true), epub
Размер: 16.1 MB

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval. Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from original filter coefficients. Next, a low complex symmetric Daub-4 orthogonal wavelet filter-bank is presented. A computer based system used for browsing, searching, and retrieving images from a sizable collection of digital images is called a content-based image retrieval (CBIR) system. Large archives of images and multimedia content have been created in recent years due to the rapid rise of digital computers, multimedia, and storage technologies.

Название: Data Visualization and Storytelling with Tableau
Автор: Mamta Mittal, Nidhi Grover Raheja
Издательство: CRC Press
Год: 2024
Страниц: 477
Язык: английский
Формат: pdf (true)
Размер: 69.9 MB

Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts. Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the plotted trends in order to make better business decisions in the future.

Название: Everyday Data Visualization: Design Effective Charts and Dashboards (Final Release)
Автор: Desiree Abbott
Издательство: Manning Publications
Год: 2024
Страниц: 264
Язык: английский
Формат: epub (true)
Размер: 32.4 MB

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack. This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how human brains perceive and process information, wield modern accessibility standards, get the basics of color theory and typography, and more. One of the most popular and powerful data visualization libraries for jаvascript is the free and open-source d3.js, also known as D3 or d3, which stands for “Data-Driven Documents.” If jаvascript and its asynchrony aren’t your jam, perhaps you’d prefer Python or R. While Python is an entire programming language, and R is a software environment specifically made for statistical analysis, both are free and open source, have a cult-like following among coders, and are great for data viz practitioners. Both R and Python have very friendly and approachable syntax, hence their considerable popularity. If you’re a statistician or data scientist, you probably already know R, and if you’re not, I’d wager you’d prefer Python. As for libraries to use in each, R users adore their ggplot/ggplot2 and Shiny, while Python users have many other options, including Seaborn, Plotly, and Matplotlib.