Data Mining and Predictive Analytics for Business Decisions: A Case Study Approa

Description: Data Mining and Predictive Analytics for Business Decisions by Andres Fortino With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. FORMAT Paperback CONDITION Brand New Publisher Description With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book. Features: Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analyticsUses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interfaceIncludes companion files with the case study files from the book, solution spreadsheets, data sets, etc. Author Biography Fortino Andres : Andres Fortino, PhD holds an appointment as a clinical associate professor of management and systems at the NYU School of Professional Studies, where he teaches courses in business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has published ten books and over 40 academic papers, and has received IBMs First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures. Table of Contents 1: Data Mining and Business2: The Data Mining Process3: Framing Analytical Questions4: Data Preparation5: Descriptive Analysis6: Modeling7: Predictive Analytics with Regression Models8: Classification9: Clustering10: Time Series Forecasting11: Feature Selection12: Anomaly Detection13: Text Data Mining14: Working with Large Data Sets15: Visual ProgrammingIndex Details ISBN1683926757 Author Andres Fortino Format Paperback Pages 272 Year 2023 ISBN-13 9781683926757 Imprint Mercury Learning & Information Subtitle A Case Study Approach Country of Publication United States NZ Release Date 2023-01-30 UK Release Date 2023-01-30 Publisher Mercury Learning & Information Audience Professional & Vocational Alternative 9781683926740 AU Release Date 2023-02-27 Publication Date 2023-02-18 US Release Date 2023-02-18 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:140557745;

Price: 111.57 AUD

Location: Melbourne

End Time: 2024-12-04T03:04:08.000Z

Shipping Cost: 0 AUD