Data Science and Machine Learning: Mathematical and Statistical Methods
Overview & Synopsis
This book will be excellent for those that want to build a strong mathematical foundation for their knowledge on the main machine learning techniques, and at the same time get python recipes on how to perform the analyses for worked examples.
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Document Information
| Document Title | Data Science and Machine Learning: Mathematical and Statistical Methods |
|---|---|
| Author / Organization | Dirk P. Kroese, Zdravko Botev, Thomas Taimre |
| Subject & Discipline | Data Science, Statistics, Mathematical Statistics, Machine Learning, Python Programming, Data Analysis and Data Mining, Big Data |
| Categories | Data Science |
| ISBN | 978-1138492530 |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH, JAPANESE, CHINESE |
| Catalog ID | DOC-90495 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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