Decision Trees and Random Forests: A Visual Introduction For Beginners

Smith, Chris; Koning, Mark

ISBN 10: 1549893750 / ISBN 13: 9781549893759

Verlag: Independently published, 2017

Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Bestandsnummer des Verkäufers ZEV.1549893750.VG

Inhaltsangabe:

If you want to learn how decision trees and random forests work, plus create your own, this visual book is for you.  

The fact is, decision tree and random forest algorithms are powerful and likely touch your life everyday.

From online search to product development and credit scoring, both types of algorithms are at work behind the scenes in many modern applications and services.

They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk.

Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact.

This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own algorithms in Python, this book is for you.

Reseña del editor:

If you want to learn how decision trees and random forests work, plus create your own, this visual book is for you.  

The fact is, decision tree and random forest algorithms are powerful and likely touch your life everyday.

From online search to product development and credit scoring, both types of algorithms are at work behind the scenes in many modern applications and services.

They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk.

Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact.

This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own algorithms in Python, this book is for you.

Bibliografische Details

Titel: Decision Trees and Random Forests: A Visual ...
Verlag: Independently published
Erscheinungsdatum: 2017
Einband: Softcover
Zustand: very_good