Mastering Predictive Analytics with R – Second Edition begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. (Limited-time offer)
Table of Contents
- Gearing Up for Predictive Modeling
- Tidying Data and Measuring Performance
- Linear Regression
- Generalized Linear Models
- Neural Networks
- Support Vector Machines
- Tree-Based Methods
- Dimensionality Reduction
- Ensemble Methods
- Probabilistic Graphical Models
- Topic Modeling
- Recommendation Systems
- Scaling Up
- Deep Learning
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Author(s): James D. Miller, Rui Miguel Forte
Publisher: Packt Publishing
Published: June 2015
Format(s): Online
File size: –
Number of pages: 448
Download / View Link(s): This offer has ended.
Free as of 07/31/2022
Publisher: Packt Publishing
Published: June 2015
Format(s): Online
File size: –
Number of pages: 448
Download / View Link(s): This offer has ended.
Free as of 07/31/2022