Fundamentals of Robust Machine Learning
handling outliers and anomalies in data science
$266.94
- Hardcover
416 pages
- Release Date
9 May 2025
Summary
Mastering Outliers: A Practical Guide to Robust Machine Learning
An essential guide for tackling outliers and anomalies in machine learning and data science.
In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming one of the key tools for data scientists. Robust machine learning is a new approach to handling outliers in datasets, which is an often-overlooked aspect of data science. Ignoring outliers ca…
Book Details
| ISBN-13: | 9781394294374 |
|---|---|
| ISBN-10: | 1394294379 |
| Author: | Resve A. Saleh, Sohaib Majzoub, A.K. Md. Ehsanes Saleh |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 416 |
| Release Date: | 9 May 2025 |
| Weight: | 839g |
| Dimensions: | 234mm x 188mm x 28mm |
About The Author
Resve A. Saleh
Resve Saleh, (PhD, UC Berkeley) is a Professor Emeritus at the University of British Columbia. He worked for a decade as a professor at the University of Illinois and as a visiting professor at Stanford University. He was Founder and Chairman of Simplex Solutions, Inc., which went public in 2001. He is an IEEE Fellow and Fellow of the Canadian Academy of Engineering.
Sohaib Majzoub, (PhD, University of British Columbia) is an Associate Professor at the University of Sharjah, UAE. He also taught at the American University in Dubai, UAE and at King Saud University, KSA, and a visiting professor at Delft Technical University in The Netherlands. He is a Senior Member of the IEEE.
A. K. MD. Ehsanes Saleh, (PhD, University of Western Ontario) is a Professor Emeritus and Distinguished Professor in the School of Mathematics and Statistics, Carleton University, Ottawa, Canada. He also taught as Simon Fraser University, the University of Toronto, and Stanford University. He is a Fellow of IMS, ASA and an Honorary Member of SSC, Canada.
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