Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Machine Learning in R, in a nutshell
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Machine Learning in R, in a nutshell
Data Mining

Machine Learning in R, in a nutshell

DavidMSmith
DavidMSmith
2 Min Read
SHARE

Josh Reich has created a concise R script demonstrating various machine-learning techniques in R with simple, self-contained examples. For example, here’s the code for K-means clustering:

k <- kmeans(train[,1:2],="">
plot(train[,1:2], type='n')
text(train[,1:2], as.character(k$cluster))
cm (train$class, k$cluster)

The techniques illustrated include:
  • K-means clustering
  • K nearest neighbours clustering 
  • Kernel clustering (via hand-rolled code) 
  • Recursive partitioning (regression trees) 
  • Principal Components Analysis (PCA) 
  • Linear Discriminant Analysis (LDA)
  • Support Vector Machines (SVM)
While the code is concise, Josh also provides extensive comments explaining how the techniques work and are implemented in R. He’s also provided some slides to go with the script which go over the fundamentals of machine learning techniques. This is a great place to start if you’re thinking about doing some predictive analytics in R. (And don’t forget to check out the Machine Learning Task View on CRAN, too.)

i2pi: Machine Learning demo script and slides

Link to original post

Josh Reich has created a concise R script demonstrating various machine-learning techniques in R with simple, self-contained examples. For example, here’s the code for K-means clustering:

More Read

A new IBM national survey of 30,000 U.S. consumers calls…
How Hadoop Revolutionised IT
Rewrite the Rules
“Blue Gene Watson can calculate 91 trillion operations a second and works 24 hours a day, seven days…”
Chrome Experiments: Online Data Visualization
k <- kmeans(train[,1:2], 3)
plot(train[,1:2], type='n')
text(train[,1:2], as.character(k$cluster))
cm (train$class, k$cluster)

The techniques illustrated include:
  • K-means clustering
  • K nearest neighbours clustering 
  • Kernel clustering (via hand-rolled code) 
  • Recursive partitioning (regression trees) 
  • Principal Components Analysis (PCA) 
  • Linear Discriminant Analysis (LDA)
  • Support Vector Machines (SVM)
While the code is concise, Josh also provides extensive comments explaining how the techniques work and are implemented in R. He’s also provided some slides to go with the script which go over the fundamentals of machine learning techniques. This is a great place to start if you’re thinking about doing some predictive analytics in R. (And don’t forget to check out the Machine Learning Task View on CRAN, too.)

i2pi: Machine Learning demo script and slides

Link to original post

TAGGED:machine learning
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

machine learning and cryptocurrency mining
Blockchain

Using Machine Learning to Improve Cryptocurrency Mining Profitability

11 Min Read
machine learning importance in businesses
Machine Learning

Machine Learning Is Crucial For Expanding Online Customer Bases

7 Min Read
machine learning tools
Machine Learning

Can Online Machine Learning Tools Help with Personal Financial Management?

6 Min Read
virtual reality machine learning
ExclusiveMachine LearningVirtual Reality

Virtual Reality And Machine Learning Go Hand In Hand

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?