This document discusses machine learning and spam analysis. It contains 3 sections: 1) How machine learning can be used to classify spam pages using a training set and algorithm. 2) Lessons learned about how hard machine learning can be and different approaches like logistic regression. 3) Takeaways about Google's perspective on links and spam, including that spam tolerance is declining and context is important.