0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Feature Learning and Understanding - Algorithms and Applications (Hardcover, 1st ed. 2020): Haitao Zhao, Zhihui Lai, Henry... Feature Learning and Understanding - Algorithms and Applications (Hardcover, 1st ed. 2020)
Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
R3,630 Discovery Miles 36 300 Ships in 12 - 17 working days

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Feature Learning and Understanding - Algorithms and Applications (Paperback, 1st ed. 2020): Haitao Zhao, Zhihui Lai, Henry... Feature Learning and Understanding - Algorithms and Applications (Paperback, 1st ed. 2020)
Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
R3,992 Discovery Miles 39 920 Ships in 10 - 15 working days

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
The South African Keto & Intermittent…
Rita Venter, Natalie Lawson Paperback R390 R299 Discovery Miles 2 990
Dig & Discover: Dinosaurs - Excavate 2…
Hinkler Pty Ltd Kit R256 R222 Discovery Miles 2 220
- (Subtract)
Ed Sheeran CD R165 R74 Discovery Miles 740
How Did We Get Here? - A Girl's Guide to…
Mpoomy Ledwaba Paperback  (1)
R290 R195 Discovery Miles 1 950
Dig & Discover: Ancient Egypt - Excavate…
Hinkler Pty Ltd Kit R256 R222 Discovery Miles 2 220
Asphalt Meadows
Death Cab For Cutie CD R246 R163 Discovery Miles 1 630
Slippers
R57 Discovery Miles 570
Generic HP 106A Compatible Toner…
R680 R200 Discovery Miles 2 000
Loot
Nadine Gordimer Paperback  (2)
R383 R310 Discovery Miles 3 100
Bestway Heavy Duty Repair Patch
R30 R24 Discovery Miles 240

 

Partners