Skip to content

✌🏼 Free Shipping on orders £20

Datadriven Modelling & Predictive Analyt

Datadriven Modelling & Predictive Analyt

By: Khang, Alex
Genre:
  • Business mathematics & systems
Regular price £74.09
Sale price £74.09 Regular price
Tax included. Shipping calculated at checkout.

Quick, only 2 items left in stock!

  • Free UK shipping on orders over £20
  • Order before 1pm for same day dispatch
Sold and shipped by SpeedyHen
Payment & Security
Payment methods
  • American Express
  • Apple Pay
  • Bancontact
  • Diners Club
  • Discover
  • Google Pay
  • Maestro
  • Mastercard
  • Shop Pay
  • Union Pay
  • Visa

Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.

Datadriven Modelling & Predictive Analyt

Datadriven Modelling & Predictive Analyt

Regular price £74.09
Sale price £74.09 Regular price

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 bring out the desired results, 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.