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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

What this book covers

Chapter 1Quantification of Learning, builds the foundation for later chapters. First, we are going to understand the meaning of a statistical model. We'll also discuss the thoughts of Leo Breiman about statistical modeling. Later, we will discuss curves and why they are so important. One of the typical ways to find out the association between variables and modeling is curve fitting, which is introduced in this chapter.

To build a model, one of the steps is to partition the data. We will discuss the reasoning behind this and examine an approach to carry it out. While we are building a model, more often that not it is not a smooth ride, and we run into several issues. We often encounter overfitting and underfitting, ...

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Publisher Resources

ISBN: 9781788830577Supplemental Content