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Flask for AI-Driven Business Analytics: Practical Approaches to Building Smart BI Applications
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- FormatePub
- ISBN8231777013
- EAN9798231777013
- Date de parution30/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
Flask for AI-Driven Business Analytics: Practical Approaches to Building Smart BI ApplicationsThis book is your essential guide to building cutting-edge business intelligence (BI) applications powered by artificial intelligence using Python's Flask framework. Designed for data professionals, developers, and …
Flask for AI-Driven Business Analytics: Practical Approaches to Building Smart BI ApplicationsThis book is your essential guide to building cutting-edge business intelligence (BI) applications powered by artificial intelligence using Python's Flask framework. Designed for data professionals, developers, and business leaders, it bridges the gap between foundational concepts and advanced implementation.
You'll learn how to architect scalable BI solutions, leverage machine learning and deep learning for tabular and unstructured data, and deploy robust analytics pipelines both locally and in the cloud. The book covers practical techniques for data ingestion, processing, visualization, and model deployment, drawing inspiration from leading resources like "Machine Learning for Tabular Data" and "Business Analytics with Python." Through hands-on projects and real-world case studies, you'll master the integration of AI models, RESTful APIs, and modern deployment strategies to deliver actionable insights and automate data-driven decision-making.
Security, scalability, and ethical considerations are woven throughout, ensuring your BI applications are ready for enterprise demands. Whether you're modernizing legacy systems or building new analytics platforms, this book equips you with the latest tools and best practices to transform business data into smart, actionable intelligence.
You'll learn how to architect scalable BI solutions, leverage machine learning and deep learning for tabular and unstructured data, and deploy robust analytics pipelines both locally and in the cloud. The book covers practical techniques for data ingestion, processing, visualization, and model deployment, drawing inspiration from leading resources like "Machine Learning for Tabular Data" and "Business Analytics with Python." Through hands-on projects and real-world case studies, you'll master the integration of AI models, RESTful APIs, and modern deployment strategies to deliver actionable insights and automate data-driven decision-making.
Security, scalability, and ethical considerations are woven throughout, ensuring your BI applications are ready for enterprise demands. Whether you're modernizing legacy systems or building new analytics platforms, this book equips you with the latest tools and best practices to transform business data into smart, actionable intelligence.
