Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Probabilistic Graphical Models in R

You're reading from   Learning Probabilistic Graphical Models in R Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R

Arrow left icon
Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781784392055
Length 250 pages
Edition 1st Edition
Languages
Arrow right icon
Toc

Introduction


In this chapter, we will learn how to make the computer learn about the parameters of a model. Our examples will use various datasets we will build ourselves or other datasets we will download from various websites. There are many datasets available online and we will use data from the UCI machine learning repository. These are made available by the Centre for Machine Learning and Intelligent Systems of the University of California, Irvine (UCI).

For example, one of the most famous datasets is the Iris dataset where each data point in the dataset represents the characteristics of an iris plant. Different attributes are used such as the sepal length/width and petal length/width.

It is possible to download this dataset and store it into a data.frame in R as we will do most of the time. Each variable is in a column and we will use i.i.d data (or assume...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime