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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| Main Author: | |
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| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Newark
John Wiley & Sons, Incorporated
2020
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119591511/?ar |
| 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. |
| Item Description: | Description based upon print version of record. - Binomial Logistic Regression Model. - Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource (466 Seiten) |
| ISBN: | 9781119591573 1119591570 9781119591535 1119591538 1523133198 9781523133192 1119591546 9781119591542 9781119591511 |
Staff View
MARC
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| 520 | |a "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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| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:23:49Z |
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| isbn | 9781119591573 1119591570 9781119591535 1119591538 1523133198 9781523133192 1119591546 9781119591542 9781119591511 |
| language | English |
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| physical | 1 Online-Ressource (466 Seiten) |
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| publishDate | 2020 |
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| publisher | John Wiley & Sons, Incorporated |
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| spelling | Nwanganga, Fred VerfasserIn aut Practical Machine Learning in R Newark John Wiley & Sons, Incorporated 2020 1 Online-Ressource (466 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based upon print version of record. - Binomial Logistic Regression Model. - Includes bibliographical references and index "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. Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) Chapple, Mike MitwirkendeR ctb 9781119591511 Erscheint auch als Druck-Ausgabe 9781119591511 |
| spellingShingle | Nwanganga, Fred Practical Machine Learning in R Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
| title | Practical Machine Learning in R |
| title_auth | Practical Machine Learning in R |
| title_exact_search | Practical Machine Learning in R |
| title_full | Practical Machine Learning in R |
| title_fullStr | Practical Machine Learning in R |
| title_full_unstemmed | Practical Machine Learning in R |
| title_short | Practical Machine Learning in R |
| title_sort | practical machine learning in r |
| topic | Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
| topic_facet | Machine learning R (Computer program language) Apprentissage automatique R (Langage de programmation) |
| work_keys_str_mv | AT nwangangafred practicalmachinelearninginr AT chapplemike practicalmachinelearninginr |