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Data Mining for Business Analytics: Concepts, Techniques and Applications in Py

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN
9781119549840
Subject Area
Business & Economics, Mathematics
Publication Name
Data Mining for Business Analytics : concepts, Techniques and Applications in Python
Item Length
10.1 in
Publisher
Wiley & Sons, Incorporated, John
Subject
Probability & Statistics / General, Commerce
Publication Year
2019
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Nitin R. Patel, Peter Gedeck, Peter C. Bruce, Galit Shmueli
Item Width
7.2 in
Item Weight
37.7 Oz
Number of Pages
608 Pages

About this product

Product Information

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. "This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject." --Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119549841
ISBN-13
9781119549840
eBay Product ID (ePID)
27038790740

Product Key Features

Author
Nitin R. Patel, Peter Gedeck, Peter C. Bruce, Galit Shmueli
Publication Name
Data Mining for Business Analytics : concepts, Techniques and Applications in Python
Format
Hardcover
Language
English
Subject
Probability & Statistics / General, Commerce
Publication Year
2019
Type
Textbook
Subject Area
Business & Economics, Mathematics
Number of Pages
608 Pages

Dimensions

Item Length
10.1 in
Item Height
1.2 in
Item Width
7.2 in
Item Weight
37.7 Oz

Additional Product Features

LCCN
2019-025014
Intended Audience
Scholarly & Professional
Lc Classification Number
Hf5548.2.S448426
Copyright Date
2020
Dewey Decimal
658.403802856312
Dewey Edition
23
Illustrated
Yes

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