Chapter 1. Introduction to machine learning
This chapter covers
- What machine learning is
- Supervised vs. unsupervised machine learning
- Classification, regression, dimension reduction, and clustering
- Why we’re using R
- Which datasets we will use
You interact with machine learning on a daily basis whether you recognize it or not. The advertisements you see online are of products you’re more likely to buy based on the things you’ve previously bought or looked at. Faces in the photos you upload to social media platforms are automatically identified and tagged. Your car’s GPS predicts which routes will be busiest at certain times of day and replots your route to minimize journey length. Your email client progressively learns which emails you want ...
Get Machine Learning with R, the tidyverse, and mlr now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
