R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – Machine Learning with R will take you methodically through every stage of applying machine learning. (Limited-time offer)
Book Description
- Introducing Machine Learning
- Managing and Understanding Data
- Lazy Learning – Classification Using Nearest Neighbors
- Probabilistic Learning – Classification Using Naive Bayes
- Divide and Conquer – Classification Using Decision Trees and Rules
- Forecasting Numeric Data – Regression Methods
- Black Box Methods – Neural Networks and Support Vector Machines
- Finding Patterns – Market Basket Analysis Using Association Rules
- Finding Groups of Data – Clustering with k-means
- Evaluating Model Performance
- Improving Model Performance
- Specialized Machine Learning Topics
Download Free PDF / Read Online
Author(s): Brett Lantz
Publisher: Packt Publishing
Published: October 2013
Format(s): Online
File size: –
Number of pages: 396
Download / View Link(s): This offer has ended.
Free as of 09/26/2020.
Publisher: Packt Publishing
Published: October 2013
Format(s): Online
File size: –
Number of pages: 396
Download / View Link(s): This offer has ended.
Free as of 09/26/2020.