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Springer - Advanced Analytics in Mining Engineering Book

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Description

In Advanced Analytics in Mining Engineering, Dr. Soofastaei and his colleagues explain how mining managers can deploy advanced analytics within day-to-day operations. While many mining companies possess massive amounts of stored data, they often struggle to use that information in a meaningful way. This book introduces advanced analytics as a powerful business tool to help companies leverage data for key decisions and processes with impressive results. The text covers a wide range of technical applications, moving from basic statistical analysis to complex machine learning and artificial intelligence. By following the guidance provided by the authors, readers can learn to transform raw data into actionable insights that drive better business decisions throughout the mining industry.

Key Features

Learn how to deploy advanced analytics in day-to-day mining operations from Dr. Soofastaei and his colleagues.

Discover methods to turn massive amounts of stored company data into meaningful business tools.

Explore practical applications of statistical analysis for improving mining industry processes.

Gain insights into using machine learning and artificial intelligence to drive better business decisions.

This Springer publication provides a guide for leveraging data to achieve impressive results in key decision-making.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 February 2023
Listed Since
28 January 2023

Barcode

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