- Išparduota
/https://libri-media.knygos-static.lt/802a9198-bc91-492d-a083-67ba0a3570b2/1)
- Autorius: Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou
- Leidėjas: Taylor & Francis Ltd.
- Metai: 2020
- Puslapiai: 774
- ISBN: 9780429527616
- ISBN-10: 0429527616
- ISBN-13: 9780429527616
- Formatas: ACSM ?
- Kalba: Anglų
Statistical Foundations of Data Science (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Formatai:
Aprašymas
This book gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. Offering more details on the topics than similar books, it is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management. The book can also be used as a text for graduate and senior undergraduate students.
Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.
Kaip skaityti el. knygas ACSM formatu?
Mažiausia kaina per 30 dienų: 263,49 €
Mažiausia kaina užfiksuota: Kaina nesikeitė
- Autorius: Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou
- Leidėjas: Taylor & Francis Ltd.
- Metai: 2020
- Puslapiai: 774
- ISBN: 9780429527616
- ISBN-10: 0429527616
- ISBN-13: 9780429527616
- Formatas: ACSM ?
- Kalba: Anglų
This book gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. Offering more details on the topics than similar books, it is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management. The book can also be used as a text for graduate and senior undergraduate students.
Atsiliepimai