Название: Deploying Juniper Data Centers with EVPN VXLAN (Final)
Автор: Аnindа Сhаttеrjее
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 19.6 MB

Learn to deploy Juniper Data Centers with EVPN VXLAN and master the only intent-based multivendor solution for deploying and monitoring EVPN-based VXLAN fabrics! Deploying Juniper Data Centers with EVPN VXLAN is designed for engineers and architects designing, deploying, and/or maintaining small to large data centers. This book will increase productivity and streamline processing and communication by helping you understand BGP EVPNbased VXLAN, data center design and deployment using Junos, and interconnecting multiple data centers for various deployment applications. Aninda Chatterjees straightforward prose and industry experience also gives you the foundational knowledge necessary for Juniper Data Center certification from the JNCIA-DC to the JNCIE-DC. The books structure is unique in its chapter-by-chapter approach with one-pager quick reference guides at the end of the book. The author also puts theory to practice using a combination of packet captures and packet walks. Junos OS is a network operating system with a modular software architecture, developed on top of FreeBSD, which is an open-source operating system. Services run as daemons in their own protected memory space.

Название: An Introduction to Spatial Data Science with GeoDa, Volume 1: Exploring Spatial Data
Автор: Luс Аnsеlin
Издательство: CRC Press
Год: 2024
Страниц: 453
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

This book is the first in a two-volume series that introduces the field of Spatial Data Science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user’s guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa. The libgeoda library has a clearly defined Application Programming Interface (API), which allows other C++ code to access its functionality directly. In fact, this is what currently happens under the hood for part of desktop GeoDa, and in the experimental web-GeoDa (jsgeoda, implemented through javascript). In addition to achieving a more flexible interaction with different graphical user interface implementations, the API also allows other software, such as R or Python programs to access the functionality through well-defined wrapper code.

Название: An Introduction to Spatial Data Science with GeoDa: Volume 2: Clustering Spatial Data
Автор: Luс Аnsеlin
Издательство: CRC Press
Год: 2024
Страниц: 238
Язык: английский
Формат: pdf (true)
Размер: 34.7 MB

This book is the second in a two-volume series that introduces the field of spatial Data Science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an important component of so-called Unsupervised Learning, a major aspect of modern Machine Learning. The distinctive aspects of the book are both to explore ways to spatialize classic clustering methods through linked maps and graphs, as well as the explicit introduction of spatial contiguity constraints into clustering algorithms. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques and their relative advantages and disadvantages. The book also constitutes the definitive user’s guide for these methods as implemented in the GeoDa open source software for spatial analysis. It is organized into three major parts, dealing with dimension reduction (principal components, multidimensional scaling, stochastic network embedding), classic clustering methods (hierarchical clustering, k-means, k-medians, k-medoids and spectral clustering), and spatially constrained clustering methods (both hierarchical and partitioning). It closes with an assessment of spatial and non-spatial cluster properties.

Название: AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability
Автор: Iqbаl Н. Sаrkеr
Издательство: Springer
Год: 2024
Страниц: 207
Язык: английский
Формат: pdf (true), epub
Размер: 21.0 MB

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world. This book targets advanced-level students in Computer Science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.

Название: Converging Minds: The Creative Potential of Collaborative AI
Автор: Аlеksаndrа Рrzеglinskа, Таmillа Тriаntоrо
Издательство: CRC Press
Год: 2024
Страниц: 171
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This groundbreaking book explores the power of Collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, Artificial Intelligence (AI), and Machine Learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of Generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Generative AI represents a category of supervised, unsupervised, and Deep Learning models designed to generate new data that resembles an existing data set. While discriminative models aim to classify or differentiate between different kinds of data, generative models mainly create. Popular examples include GANs, VAEs, and some types of RNNs. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, Machine Learning architects, prompt engineers, general computer scientists, and engineers in the fields of Generative AI and Deep Learning.

Название: VMware vSphere Essentials: A Practical Approach to vSphere Deployment and Management
Автор: Luсiаnо Раtrао
Издательство: Apress
Год: 2024
Страниц: 708
Язык: английский
Формат: pdf
Размер: 27.2 MB

This book fills a vacuum in the market for high-quality information on a VMware vSphere system and offers a thorough introduction to VMware virtualization. Written for novices and those seeking more information about vSphere, this book walks you through its key concepts and technology, such as vSphere infrastructure creation, maintenance, and performance for beginners and advanced users. You'll take a step-by-step approach to guarantee you grasp the fundamental concepts and practical procedures required to construct and manage virtual machines in a VMware vSphere system. You'll explore the key components of vSphere with detail and explanation for each feature, including the hypervisor, networking, storage, and high availability, unravelling their intricacies and highlighting best practices. Virtualization is a revolutionary concept, abstracting away the differences between actual hardware and its digital counterparts. It allows multiple virtual machines to exist on one physical computer, using hardware abstraction and a hypervisor. This boosts efficiency, scalability, and adaptability in managing applications and environments. With various kinds of virtualization available, this technology has many advantages, such as reduced expenses, optimized resource use, and simplified administration. For system administrators, advanced vSphere administrators, and IT professionals pursuing VMware certifications.

Название: Azure Arc Systems Management: Governance and Administration of Multi-cloud and Hybrid IT Estates
Автор: Rаmоnа Махwеll
Издательство: Apress
Год: 2024
Страниц: 298
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is for enterprise and solution architects, systems integrators, and anyone managing enterprise-scale, multi-cloud or hybrid IT landscapes. The book examines usage of Azure Arc for governance and systems management with security as an overarching theme. It is not an implementation manual but provides high-level guidance on best practices and links to detailed guidance. It offers insight into the types of problems that Azure Arc can solve, and will help you determine whether it is the right choice for your organization. Azure Arc is designed to provide a consolidated view of assets such as databases and Kubernetes installations across major cloud providers, edge locations, and customer-owned datacenters. It facilitates deployment of new infrastructure, patching and upgrades, monitoring, policy, and security controls for assets living on-premises or in competitor clouds as if they were native to Azure. While competitive products exist, at this writing none have the flexibility and reach of Arc to effectively manage very large hybrid estates. PostgreSQL, like other technologies covered in this book, owes its existence to Berkeley being a provenience of new computing technologies fostering solutions to some of the biggest data problems in enterprise computing while adhering to an open source model that let the best minds of the IT community test and enhance things like PostgreSQL and Spark. For enterprise and solution architects, systems integrators, and anyone else looking to solve enterprise-scale administration problems across a multi-cloud or hybrid architecture.

Название: Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Автор: Jоsерh Соnlеу
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 354
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master the Fundamentals of Data Analytics at Scale. Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. One of the keys to Glue’s processing power is a data processing framework called Apache Spark. Spark is a powerful tool designed to handle Big Data - think of it as a supercharged engine for processing vast amounts of information quickly and efficiently. This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks.

Название: Simulation with Arena, 7th Edition
Автор: W. Dаvid Кеltоn, Nаnсу В. Zuрiсk, Nаthаn J. Ivеу
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 21.5 MB

Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The textbook begins by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The new edition now reflects Arena version 16.2, which contains many new and useful features. Arena simulation software is a tool to remove the guesswork from decision making and improve processes, efficiencies, work teams, and profitability. It uses 2D and 3D modeling and real world data to simulate various process scenarios and optimize system performance. It uses the SIMAN processor and simulation language. We assume neither prior knowledge of simulation nor computer-programming experience. We do assume basic familiarity with computing in general (files, folders, basic editing operations, etc.), but nothing advanced. A fundamental understanding of probability and statistics is needed. We also assume knowledge of basic derivative and integral calculus. Arena combines the ease of use found in high-level simulators with the flexibility of simulation languages and even all the way down to general-purpose procedural languages like the Microsoft Visual Basic programming system or C if you really want. It does this by providing alternative and interchangeable templates of graphical simulation-modeling and analysis modules that you can combine to build a fairly wide variety of simulation models. For specialized needs, like complex decision algorithms or accessing data from an external application, you can write pieces of your model in a procedural language like Visual Basic or C/C++.

Название: Advances in Digital Marketing in the Era of Artificial Intelligence: Case Studies and Data Analysis for Business Problem Solving
Автор: Моеz Ltifi
Издательство: CRC Press
Год: 2025
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on Artificial Intelligence (AI). It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of Artificial Intelligence. This book presents the concepts and applications of digital marketing in the age of Artificial Intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using Artificial Intelligence solutions. This enables specialists to apply advances in digital marketing in the age of Artificial Intelligence in the right way to serve customers and solve business problems in this competitive age. The advent of ChatGPT, an advanced form of chatbots based on OpenAI’s GPT-3.5 architecture, is distinguished by its ability to understand natural language inputs from users. ChatGPT can assist marketers in creating more human-like interactions with consumers, answering their queries, and offering personalized recommendations.