Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo by Ganesh, Tinniam V.
Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo by Ganesh, Tinniam V.

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

This is the 3rd edition of the book. All the code sections are formatted with fixed-width font...
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€22,50 EUR
SKU: 9781792969300
Product Type: Books
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Author: Tinniam V. Ganesh
Format: Paperback
Language: English
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Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo by Ganesh, Tinniam V.

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

€22,50
Practical Machine Learning with R and Python: Third Edition: Machine Learning in Stereo by Ganesh, Tinniam V.

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

€22,50
Author: Tinniam V. Ganesh
Format: Paperback
Language: English
Description
This is the 3rd edition of the book. All the code sections are formatted with fixed-width font Consolas for better readability. 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

Author: Tinniam V. Ganesh
Publisher: Independently Published
Published: 01/01/2019
Pages: 278
Binding Type: Paperback
Weight: 1.10lbs
Size: 9.69h x 7.44w x 0.58d
ISBN: 9781792969300

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