Practical Machine Learning in R
"Machine learning--a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions--allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Pra...
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| Format: | eBook |
| Language: | English |
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Newark
John Wiley & Sons, Incorporated
2020
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "Machine learning--a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions--allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more"--Amazon |
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| Item Description: | Description based upon print version of record. - Binomial Logistic Regression Model |
| Physical Description: | 466 p. |
| ISBN: | 1119591546 9781119591535 1119591538 9781119591573 9781523133192 1119591570 1523133198 |