Skip to Main Content
Machine Learning Quick Reference
book

Machine Learning Quick Reference

by Rahul Kumar
January 2019
Intermediate to advanced content levelIntermediate to advanced
294 pages
6h 43m
English
Packt Publishing
Content preview from Machine Learning Quick Reference

Decision tree

A decision tree is a supervised learning technique that works on the divide-and-conquer approach. It can be used to address both classification and regression. The population undergoes a split into two or more homogeneous samples based on the most significant feature.

For example, let's say we have got a sample of people who applied for a loan from the bank. For this example, we will take the count as 50. Here, we have got three attributes, that is, gender, income, and the number of other loans held by the person, to predict whether to give them a loan or not.

We need to segment the people based on gender, income, and the number of other loans they hold and find out the most significant factor. This tends to create the most ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Mining and Machine Learning Applications

Data Mining and Machine Learning Applications

Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
Advanced Machine Learning with R

Advanced Machine Learning with R

Cory Lesmeister, Dr. Sunil Kumar Chinnamgari
Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics

Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
TensorFlow Machine Learning Projects

TensorFlow Machine Learning Projects

Ankit Jain, Dr. Amita Kapoor

Publisher Resources

ISBN: 9781788830577Supplemental Content