Practical Machine Learning with R and Python: Machine Learning in Stereo

Ganesh, Tinniam V

ISBN 10: 1973443503 / ISBN 13: 9781973443506

Verlag: Independently published, 2017

Beschreibung

Very Good. SHIPS FROM MULTIPLE LOCATIONS.

Bestandsnummer des Verkäufers D8S0-3-M-1973443503-4

Bibliografische Details

• Titel: Practical Machine Learning with R and Python: Machine Learning in Stereo
• Verlag: Independently published
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 1973443503
• ISBN-13: 9781973443506
• Einband: paperback
• Zustand: Very Good
• Buchtyp: book

Über diesen Titel

Inhaltsangabe

This book implements many common Machine Learning algorithms in equivalent R and Python. The book touches on R and Python implementations of different regression models, classification algorithms including logistic regression, KNN classification, SVMs, b-splines, random forest, boosting etc. Other techniques like best-fit, forward fit, backward fit, and lasso and ridge regression are also covered. The book further touches on classification metrics for computing accuracy, recall, precision etc. There are implementations of validation, ROC and AUC curves in both R and Python. Finally, the book covers unsupervised learning methods like K-Means, PCA and Hierarchical clustering. The book is well suited for the novice and the expert. The first two chapters discuss the most important programming constructs in R and Python. The third chapter highlights equivalent programming phrases in R and Python. Hence, those with no knowledge of R and Python will find these introductory chapters useful. Those who are proficient in one of the language can further their knowledge on the other. Those are familiar with both R and Python will find the equivalent implementations useful to internalize the algorithms. This book should serve as a useful and handy reference for Machine Learning algorithms in both R and Python