O'Reilly logo

Practical Machine Learning by Sunila Gollapudi

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 6. Instance and Kernel Methods Based Learning

We have covered Decision tree models for solving classification and regression problems in the previous chapter. In this chapter, we will cover two important models of supervised and unsupervised learning techniques which are the Nearest Neighbors method, which uses the instance-based learning model, and the Support Vector Machines (SVM) model, which uses kernel methods based learning model. For both methods, we will learn the basics of the technique and see how it can be implemented in Apache Mahout, R, Julia, Apache Spark, and Python. The following figure depicts different learning models covered in this book and the techniques highlighted will be dealt in covered in this chapter.

The following ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required