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Introduction to statistical and machine learning methods for data science /
Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-w...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
SAS Institute,
2021.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Reis Pinheiro, Carlos Andre, |d 1940- | |
| 245 | 1 | 0 | |a Introduction to statistical and machine learning methods for data science / |c Carlos Andre Reis Pinheiro, Mike Patetta. |
| 260 | |a Cary, NC : |b SAS Institute, |c 2021. | ||
| 300 | |a 1 online resource (170 p.) | ||
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| 500 | |a Description based upon print version of record. | ||
| 520 | |a Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning |x Statistical methods. | |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Apprentissage automatique |x Méthodes statistiques. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Machine learning |x Statistical methods. |2 fast |0 (OCoLC)fst01004801 | |
| 700 | 1 | |a Patetta, Michael J. |q (Michael James) | |
| 776 | 0 | 8 | |i Print version: |a Pinheiro, Carlos Andre Reis |t Introduction to Statistical and Machine Learning Methods for Data Science |d Cary, NC : SAS Institute,c2021 |z 9781953329608 |
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