{"product_id":"9789811293900","title":"NO-CODE AI: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms","description":"\u003cp\u003eThis book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background. It introduces AI, machine learning, and deep learning basics, focusing on no-code methods for easy understanding. \u003c\/p\u003e\u003cp\u003eThe book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects.\u003c\/p\u003e\u003cp\u003eThis guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003eIntroduction to Artificial Intelligence:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eOverview of Artificial Intelligence\u003c\/li\u003e\n\u003cli\u003eMachine Learning\u003c\/li\u003e\n\u003cli\u003eModel Validation and Evaluation\u003c\/li\u003e\n\u003cli\u003eData and Source Collection for Machine Learning\u003c\/li\u003e\n\u003cli\u003eDeep Learning\u003c\/li\u003e\n\u003cli\u003eCase Study\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003ePlatform-Based Artificial Intelligence:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eAmazon Web Service (AWS)\u003c\/li\u003e\n\u003cli\u003eAmazon SageMaker\u003c\/li\u003e\n\u003cli\u003eSageMaker Canvas\u003c\/li\u003e\n\u003cli\u003eSageMaker Canvas Practice\u003c\/li\u003e\n\u003cli\u003eSageMaker Studio\u003c\/li\u003e\n\u003cli\u003eSageMaker Autopilot\u003c\/li\u003e\n\u003cli\u003eMicrosoft Azure\u003c\/li\u003e\n\u003cli\u003eAzure Automated Machine Learning\u003c\/li\u003e\n\u003cli\u003eAzure Pipeline\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003eBI Solutions:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eAmazon QuickSight\u003c\/li\u003e\n\u003cli\u003eUtilizing QuickSight\u003c\/li\u003e\n\u003cli\u003ePower BI\u003c\/li\u003e\n\u003cli\u003ePower BI Desktop Tutorial\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eReadership:\u003c\/b\u003e Advanced undergraduate and graduate students or artificial intelligence and machine learning; researchers, and practitioners in the fields of IT, AI; and individuals new to AI.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eAccessible to Beginners: Specifically designed for individuals new to information technology (IT) and artificial intelligence (AI), making complex concepts understandable without requiring prior programming knowledge\u003c\/li\u003e \u003cli\u003eBroad Audience Appeal: Appeals to a wide range of readers, from those interested in the mathematical foundations of AI to seasoned engineers looking for alternatives to open-source solutions\u003c\/li\u003e \u003cli\u003eStep-by-Step Tutorials: Contains detailed, easy-to-follow tutorials on Microsoft Azure Machine Learning, allowing readers to start from scratch and build functional machine learning models\u003c\/li\u003e \u003cli\u003eComprehensive Coverage: Not only focuses on Azure Machine Learning but also introduces readers to AWS SageMaker, providing a comparative insight into two of the leading cloud-based machine learning platforms\u003c\/li\u003e \u003cli\u003eIntegration with Data Analytics Tools: Explores the use of Power BI and AWS QuickSight for data visualization, highlighting how these tools can enhance machine learning projects by making results actionable and insightful\u003c\/li\u003e \u003cli\u003eReal-World Applications: Features practical projects and case studies using public and medical datasets, demonstrating the real-world applicability of the tools and techniques discussed\u003c\/li\u003e \u003cli\u003eAlternative to Open Source: Addresses the challenges of using open-source software for AI and machine learning, presenting Azure Machine Learning and AWS SageMaker as viable, user-friendly alternatives\u003c\/li\u003e \u003cli\u003eFuture-Oriented Discussion: Speculates on the future developments in AI platforms, preparing readers for upcoming trends and technologies in the field of AI and machine learning\u003c\/li\u003e \u003cli\u003eResource Guide for Continued Learning: Offers an extensive list of resources, including online courses, forums, and documentation, to assist readers in furthering their understanding and skills after finishing the book\u003c\/li\u003e \u003cli\u003eEmpowerment Through Knowledge: Empowers readers by equipping them with the knowledge and tools needed to apply artificial intelligence in various domains, regardless of their IT background\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"WSPC","offers":[{"title":"Default Title","offer_id":46578917310705,"sku":"9789811293900","price":29.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9789811293900_p0.jpg?v=1766079270","url":"https:\/\/shop.barnesandnoble.com\/products\/9789811293900","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}