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Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades.Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase.

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robot control, and bioinformatics, often violate this common assumption. Dealing with non-stationarity is one of modern machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity. After reviewing the state-of-the-art research in the field, the authors discuss topics that include learning under covariate shift, model selection, importance estimation, and active learning. They describe such real world applications of covariate shift adaption as brain-computer interface, speaker identification, and age prediction from facial images. With this book, they aim to encourage future research in machine learning, statistics, and engineering that strives to create truly autonomous learning machines able to learn under non-stationarity.

Streamline your business by creating clear, concise process diagrams with Microsoft Visio, and share them securely for viewing, reviewing, and collaborationPurchase of the print or Kindle book includes a free PDF eBookKey Features• Learn built-in diagram types or create custom ones to describe flow steps effectively• Unlock the skills and techniques needed to efficiently and speedily capture and communicate complex flows• Understand how to store securely, integrate with other apps, and import and export flow stepsBook DescriptionEvery business has process flows, but not all of them are fully described to or verified for accuracy with each stakeholder. This not only presents a risk for business continuity but also removes the ability to make insightful improvements. To make these complex interactions easy to grasp, it's important to describe these processes visually using symbology that everybody understands. Different parts of these flows should be collaboratively developed and stored securely as commercial collateral. Visualize Complex Processes with Microsoft Visio helps you understand why it is crucial to use a common, systematic approach to document the steps needed to meet each business requirement. This book explores the various process flow templates available in each edition of Microsoft Visio, including BPMN. It also shows you how to use them effectively with the help of tips and techniques and examples to reduce the time required for creating them, as well as how you can improve their integration and presentation. By the end of this book, you'll have mastered the skills needed to create data-integrated business flowcharts with Microsoft Visio, learned how to effectively use these diagrams collaboratively, but securely, and understood how to integrate them with other M365 apps, including Excel, Word, PowerPoint, and Power Automate.What you will learn• Choose an appropriate flowchart diagram type to describe process steps• Develop the skills to efficiently use Visio to draw process flowcharts• Discover how to create process flows diagrams to meet the BPMN standard• Find out how to synchronize Excel tables with Visio process flowcharts• Store flowcharts that can also be used for collaboration securely• Understand how to export flowcharts and data to other M365 apps• Discover how Visio ShapeSheet functions can increase productivityWho this book is forIf you're a manager, analyst, or designer of business processes, then this book will help you create professional process diagrams effectively and consistently to improve the accuracy of communication and facilitate impactful insights. This book will also be useful for beginners or power users who are seeking tips and techniques to capture process flows from context and customize diagrams to meet academic as well as corporate standards.

Everything you need to know about the next generation Generative AI tool and ChatGPT Key Features ? Get familiar with the technical aspects of Generative AI and ChatGPT. ? Understand how you can implement Generative AI and ChatGPT in your organization. ? Explore use cases of Generative AI and ChatGPT in various industries and businesses, such as healthcare, finance, retail, network security, and more. Description Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you. This book gives a comprehensive overview of Generative AI and ChatGPT, the cutting-edge technologies that have gained significant attention in recent times. The book aims to provide a thorough understanding of these technologies, architectures, and training methods, including their background, development process, and current state. The book helps discover innovative ways in which these technologies have been implemented to achieve measurable benefits, including improved efficiency, customer satisfaction, security, and revenue growth and its potential application across different industries and use cases. The book also explores the challenges and considerations that organizations must take into account when implementing Generative AI and ChatGPT with existing limitations. Towards the end, the book provides insights into the substantial improvements and advancements in these technologies. It also helps you identify several areas for further research and development that could enhance the capabilities of ChatGPT in the near future. What you will learn ? Explore how different industries and domains are using ChatGPT. ? Understand how content creators and marketing industries can benefit from using ChatGPT. ? Learn how to benefit from the problem-solving abilities of ChatGPT. ? Understand how ChatGPT can be used in various coding areas. ? Get familiar with the recent advancements in ChatGPT. Who this book is for This book is for individuals and groups interested in AI and its practical applications in the business world. Business leaders, entrepreneurs, researchers, academicians, data scientists, Machine Learning engineers, and other professionals working in the field of AI can all find value in the book's insights into the latest technological advancements and how they can be leveraged to achieve business goals. Table of Contents 1. Introduction to ChatGPT 2. History Of Generative Models 3. Generative AI in Banking and Finance 4. Regulatory and Legal aspects of Generative AI 5. Generative AI and ChatGPT for Government Departments 6. Authenticity AI generated content 7. ChatGPT Technical Overview: Introduction 8. Brief of top other NLP models 9. Historical flow and development of GPT series 10. API Pricing model and technical limitations of ChatGPT 11. Customer Journey in ChatGPT free version UI 12. Use Cases in Modern Era: Introduction 13. Use case in Content-marketing 14. Education and e-learning abilities 15. Use case in Entertainments purposes 16. Potential of ChatGPT in Coding and Programming 17. Problem solving abilities (Quantitative) 18. Problem solving abilities (Qualitative) 19. Use cases Financial Industry 20. Use cases in Healthcare Industry 21. Use cases in E-commerce Industry 22. Use cases in Hospitality Industry 23. Problem solving abilities of ChatGPT 24. How beginner start ChatGPT for problem-solving 25. ChatGPT for National Cyber Security and TechnoPolicy 26. Use cases in edtech industry 27. Potential of ChatGPT in Research work 28. Potential of ChatGPT in Coding and Programming 29. Recent advancements that are made in ChatGPT 30. ChatGPT and the market right now 31. Generative AI and Chatgpt Help India G20 Summit 32. GPT- 4 33. Future scope of ChatGPT

In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.

Secure your container environment against cyberattacks and deliver robust deployments with this practical guide Key Features * Explore a variety of Kubernetes components that help you to prevent cyberattacks * Perform effective resource management and monitoring with Prometheus and built-in Kubernetes tools * Learn techniques to prevent attackers from compromising applications and accessing resources for crypto-coin mining Book Description Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios. Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments. By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats. What you will learn * Understand the basics of Kubernetes architecture and networking * Gain insights into different security integrations provided by the Kubernetes platform * Delve into Kubernetes' threat modeling and security domains * Explore different security configurations from a variety of practical examples * Get to grips with using and deploying open source tools to protect your deployments * Discover techniques to mitigate or prevent known Kubernetes hacks Who this book is for This book is for security consultants, cloud administrators, system administrators, and DevOps engineers interested in securing their container deployments. If you're looking to secure your Kubernetes clusters and cloud-based deployments, you'll find this book useful. A basic understanding of cloud computing and containerization is necessary to make the most of this book.

Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ? Includes successful methods and innovative ideas to achieve success with BI. ? Vendor-neutral, unbiased, and based on experience. ? Highlights practical challenges in BI journeys. ? Covers financial aspects along with technical aspects. ? Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts.The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ? Builds a strong conceptual foundation in BI. ? Gives the right perspective and clarity on BI uses, challenges, and architectures. ? Enables you to make the right decisions on the BI structure, organization model, and budget. ? Explains which type of BI solution is required for your business. ? Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate \"rules of thumb.\" A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.