Probability for Statistics and Machine Learning Fundamentals and Advanced Topics /
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and num...
| Main Author: | DasGupta, Anirban (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2011.
|
| Series: | Springer Texts in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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