Gypsy Nandi (26 results)

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Hardcover. Condition: New. 1st Edition. This book introduces the fundamental concepts of different soft computing techniques that are widely used in a variety of optimization and classification problems. Topics covered include Fuzzy computing, Neural Network, Deep learning, Population based algorithms, Rough sets, Soft computing techniques in Intrusion Detection Systems and Soft Computing techniques in Data Mining. The content discusses the fundamentals together with how the soft computing techniques can be implemented using various standard libraries and tools of the Python programming language and the ROSE tool. Readers with previous knowledge of python programming will find easy to understand the program examples presented in the chapters. Each chapter contains numerous examples and case study that explains the important concepts. Appropriate number of questions is presented at the end of each chapter for self assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic.…

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Buch. Condition: Neu. Neuware - Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: - Each chapter accompanied with Python codes and step-by-step comments to illustrate applications- Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more- Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.…

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Paperback. Condition: new. Paperback. GoldenGate Microservices 23ai is a next-generation data replication platform designed for modern enterprise environments that demand real-time data movement, high availability, and intelligent automation. As organizations increasingly rely on continuous data integration for migrations, upgrades, analytics, and cloud adoption, understanding the architectural and operational advancements of GoldenGate 23ai has become essential for today's database and platform professionals. This book will explore core architecture concepts, hub-based deployments, installation and upgrade strategies from 19c, and improved patching workflows. Readers will understand new 23ai features, including the enhanced web interface, expanded microservices architecture, AI integration, and auto conflict detection and resolution. By the end of this book, readers will be fully equipped to design, deploy, monitor, and automate highly available Oracle GoldenGate Microservices 23ai environments. They will gain the skills Oracleneeded to support mission-critical replication, perform zero downtime migrations, improve operational efficiency, and confidently manage GoldenGate 23ai in both on-premises and cloud-based enterprise landscapes.What you will learn Design MAA-based GoldenGate 23ai architectures for cloud and on-prem. Implement AI-driven monitoring and intelligent replication insights. Deploy GoldenGate Microservices hub configurations. Build highly available active-active and failover replication environments. Automate GoldenGate operations using REST APIs and AI capabilities. Manage patching workflows.Who this book is forThis book is intended for intermediate to advanced professionals, including database administrators, database architects, solutions architects, cloud engineers, and platform engineers working with Oracle technologies. It is ideal for practitioners responsible for designing, operating, automating, or modernizing highly available, enterprise-grade data replication environments.Table of Contents1. Introduction to Oracle GoldenGate Microservices2. Architecture Design3. Installation of OGG 23ai4. Setting up Oracle GoldenGate Processes5. Upgrade OGG to 23ai6. Patching7. Part I: New Features in OGG MA 23ai8. Part II: New Features in OGG MA 23ai9. Maximum Availability Architecture10. Monitoring11. Automation12. Automation Examples This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. GoldenGate Microservices 23ai is a next-generation data replication platform designed for modern enterprise environments that demand real-time data movement, high availability, and intelligent automation. As organizations increasingly rely on continuous data integration for migrations, upgrades, analytics, and cloud adoption, understanding the architectural and operational advancements of GoldenGate 23ai has become essential for today's database and platform professionals. This book will explore core architecture concepts, hub-based deployments, installation and upgrade strategies from 19c, and improved patching workflows. Readers will understand new 23ai features, including the enhanced web interface, expanded microservices architecture, AI integration, and auto conflict detection and resolution. By the end of this book, readers will be fully equipped to design, deploy, monitor, and automate highly available Oracle GoldenGate Microservices 23ai environments. They will gain the skills Oracleneeded to support mission-critical replication, perform zero downtime migrations, improve operational efficiency, and confidently manage GoldenGate 23ai in both on-premises and cloud-based enterprise landscapes.What you will learn Design MAA-based GoldenGate 23ai architectures for cloud and on-prem. Implement AI-driven monitoring and intelligent replication insights. Deploy GoldenGate Microservices hub configurations. Build highly available active-active and failover replication environments. Automate GoldenGate operations using REST APIs and AI capabilities. Manage patching workflows.Who this book is forThis book is intended for intermediate to advanced professionals, including database administrators, database architects, solutions architects, cloud engineers, and platform engineers working with Oracle technologies. It is ideal for practitioners responsible for designing, operating, automating, or modernizing highly available, enterprise-grade data replication environments.Table of Contents1. Introduction to Oracle GoldenGate Microservices2. Architecture Design3. Installation of OGG 23ai4. Setting up Oracle GoldenGate Processes5. Upgrade OGG to 23ai6. Patching7. Part I: New Features in OGG MA 23ai8. Part II: New Features in OGG MA 23ai9. Maximum Availability Architecture10. Monitoring11. Automation12. Automation Examples This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Hardcover. Condition: Brand New. 351 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condition: new. Hardcover. Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human minds unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applicationsDetailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and moreExercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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