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Business Analytics for Professionals (2022)

Contributor(s): Ustundag, Alp (Editor), Cevikcan, Emre (Editor), Beyca, Omer Faruk (Editor)

ISBN: 9783030938253

Publisher: Springer

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Pub Date: May 11, 2023

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.00" H x 9.21" L x 6.14" W ( 1.52 lbs) 481 pages

Series: Springer Advanced Manufacturing

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Description:

This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.

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