Name: Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence) (en Inglés)
SKU: 56112157
Price: 3951.72 MXN
Availability: InStock
Author: Khang Alex,Gujrati Rashmi,Uygun Hayri
ISBN: 9781032601915

portada Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence) (en Inglés)

Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence) (en Inglés)

Formato

Libro Físico

Editorial

Auerbach Publications

Autor

Khang Alex,Gujrati Rashmi,Uygun Hayri

Idioma

Inglés

N° páginas

528

Encuadernación

Tapa Dura

ISBN13

9781032601915

N° edición

Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence) (en Inglés)

Khang Alex,Gujrati Rashmi,Uygun Hayri (Autor) · Auerbach Publications · Tapa Dura

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Reseña del libro "Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence) (en Inglés)"

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge and so is developing explainable AI (XAI) to make data-driven transactions transparent.Data-Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to deploy intelligent solutions, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems. This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.