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Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

Description: Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the book, you'll follow a fictional company as it tackles real scenarios.Using actual data to create example code and visualizations, SAP business analysts will learn practical methods for gaining deeper insights into their business's data. Data engineers and data scientists will explore ways to add SAP data to their analysis processes. Through grounded explanations of both SAP processes and data science tools, you'll discover powerful methods for discovering data truths.Use data to tell revealing stories about your customers Model purchase requisition data using exploratory data analysis Create an anomaly detection system for SAP sales orders Use R and Python to make predictions on sales data Cluster and segment your customers based on their buying habits Use association rule learning to discover customer buying patterns Apply NLP to uncover the most highly actionable customer complaints

Price: 36.9 GBP

Location: Gloucester

End Time: 2024-12-29T15:21:00.000Z

Shipping Cost: 25.06 GBP

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Practical Data Science with SAP: Machine Learning Techniques for Enterprise DataPractical Data Science with SAP: Machine Learning Techniques for Enterprise Data

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Return postage will be paid by: Buyer

Returns Accepted: Returns Accepted

After receiving the item, your buyer should cancel the purchase within: 60 days

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EAN: 9781492046448

UPC: 9781492046448

ISBN: 9781492046448

MPN: N/A

Book Title: Practical Data Science with SAP: Machine Learning

Item Length: 23.3 cm

Item Weight: 0.57 kg

Number of Pages: 344 Pages

Language: English

Publication Name: Practical Data Science with Sap: Machine Learning Techniques for Enterprise Data

Publisher: O'reilly Media, INC International Concepts USA

Publication Year: 2019

Subject: Computer Science, Business

Item Height: 233 mm

Type: Textbook

Author: Greg Foss, Paul Modderman

Subject Area: Data Analysis

Item Width: 178 mm

Format: Paperback

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