Machine Learning Refined
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Published By Cambridge University Press

9781316402276
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Fundamental tools and concepts

2016 ◽  
pp. 19-20
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos

Basic vector and matrix operations

2016 ◽  
pp. 265-267
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Basic Vector ◽  
Matrix Operations

Automatic feature design for regression

2016 ◽  
pp. 131-165
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Feature Design

Basics of vector calculus

2016 ◽  
pp. 268-273
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Vector Calculus

Convex geometry

2016 ◽  
pp. 278-279
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Convex Geometry

Automatic feature design for classification

2016 ◽  
pp. 166-194
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Feature Design

Advanced gradient schemes

2016 ◽  
pp. 219-244
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos

Dimension reduction techniques

2016 ◽  
pp. 245-262
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Dimension Reduction ◽  
Reduction Techniques ◽  
Dimension Reduction Techniques

References

2016 ◽  
pp. 280-284
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos

Methods for large scale machine learning

2016 ◽  
pp. 217-218
Author(s):  
Jeremy Watt ◽  
Reza Borhani ◽  
Aggelos Katsaggelos
Keyword(s):  
Machine Learning ◽  
Large Scale
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