Data Science and Machine Learning : Mathematical and Statistical Methods / Dirk P. Kroese , Zdravko Botev , Thomas Taimre , Radislav Vaisman
Material type:
TextLanguage: English Publication details: Boca Raton : CRC Press , 2020Description: 513 Pages ; 24 cmISBN: - 9781138492530
- Q325.5 K76 2020
| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
Books
|
Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | Q325.5 .K76 2020 (Browse shelf(Opens below)) | C. 1 | Available | 10002387 | |
|
Books
|
Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | Q325.5 .K76 2020 (Browse shelf(Opens below)) | C. 2 | Available | 10009563 | |
|
Books
|
Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | Q325.5 .K76 2020 (Browse shelf(Opens below)) | C. 3 | Available | 10001361 |
Browsing Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي shelves Close shelf browser (Hides shelf browser)
| Q325.5 G36 2021 Quantum Machine Learning : An Applied Approach : The Theory and Application of Quantum Machine Learning in Science and Industry / | Q325.5 .H39 2016 The Elements of Statistical Learning : Data mining , Inference , and Prediction / | Q325.5 .K76 2020 Data Science and Machine Learning : Mathematical and Statistical Methods / | Q325.5 .K76 2020 Data Science and Machine Learning : Mathematical and Statistical Methods / | Q325.5 .K76 2020 Data Science and Machine Learning : Mathematical and Statistical Methods / | Q325.5 .M58 1997 Machine Learning / | Q325.5 .M58 1997 Machine Learning / |
Includes Index
"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto
There are no comments on this title.
Click on an image to view it in the image viewer