Modern Business Analytics ISE

Specificaties
Paperback, blz. | Engels
McGraw-Hill Education | e druk, 2022
ISBN13: 9781266108334
Rubricering
McGraw-Hill Education e druk, 2022 9781266108334
Verwachte levertijd ongeveer 11 werkdagen

Samenvatting

Written by Matt Taddy, successful author of the McGraw Hill Professional title, Business Data Science graduate of University of Chicago and Amazon Chief Economist. This new higher-ed text takes a practical, modern approach to data science and business analytics for the graduate-level business analytics student or professional. It takes a learn-by-doing approach, with real data analysis examples that explain the "why", rather than the "what" in the decision-making discussions. It uses R as the primary technology throughout the text and includes an end-of-chapter reference to the basic R recipes in each chapter. The text uses tools from economics and statistics in combination with Machine Learning Techniques to create a platform for using data to make decisions.

The Connect product that supports the text includes Interactive Activities that have students explore content more deeply, Excel activities like Integrated Excel & Applying Excel, and a Prep Course that helps students refresh on fundamental pre-requisite knowledge they need to know prior to this course.

Specificaties

ISBN13:9781266108334
Taal:Engels
Bindwijze:paperback

Inhoudsopgave

Chapter 1: Regression&nbsp;<br/>Chapter 2: Uncertainty Quantification&nbsp;<br/>Chapter 3: Regularization and Selection&nbsp;<br/>Chapter 4: Classification&nbsp;<br/>Chapter 5: Causal Inference with Experiments&nbsp;<br/>Chapter 6: Causal Inference with Controls&nbsp;<br/>Chapter 7: Trees and Forests&nbsp;<br/>Chapter 8: Factor Models&nbsp;<br/>Chapter 9: Text as Data&nbsp;<br/>Chapter 10: Deep Learning&nbsp;<br/>Appendix: R Primer&nbsp;<br/>

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        Modern Business Analytics ISE