Machine learning refined :
Watt, Jeremy,
Machine learning refined : foundations, algorithms, and applications / Jeremy Watt, Northwestern University, Illinois, Reza Borhani, Northwestern University, Illinois, Aggelos K. Katsaggelos, Northwestern University, Illinois. - Second Edition. - 1 Electronic Resources
First edition published 2016.
Includes bibliographical references and index.
"The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"--
9781108480727
2019052924
Machine learning.
Q325.5 / .W38 2020
006.31 WAT 2020
Machine learning refined : foundations, algorithms, and applications / Jeremy Watt, Northwestern University, Illinois, Reza Borhani, Northwestern University, Illinois, Aggelos K. Katsaggelos, Northwestern University, Illinois. - Second Edition. - 1 Electronic Resources
First edition published 2016.
Includes bibliographical references and index.
"The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"--
9781108480727
2019052924
Machine learning.
Q325.5 / .W38 2020
006.31 WAT 2020