We have made it to the final chapter of this book. However, this doesn't mean that we can ignore the topics that we are going to discuss in the upcoming sections. These topics are state of the art and will separate you from the rest.

In this chapter, we will cover the following topics:

• Kernel principal component analysis
• Independent component analysis
• Compressed sensing
• Bayesian multiple imputations
• Self-organizing maps