[week 13] Muddiest Points

This week's topic was Text Classification and Clustering. My two cents:

• What is the relationship between the Support Vector Machines (SVM) model and Neural Networks?
• I didn't understand clearly the concepts of Total Benefit & Total Cost for the K-means clustering algorithm.

That's it.

[week 12] Muddiest Points

Whereas the term gets closer to its end, my posts get shorter... well my two cents:

1. In slide 37, Dr He introduced active feedback, but I missed additional references on this topic, Is there more research on AF mechanisms?

2. Is there any explanation to understand why click-through data produces more improvement than history of queries in active feedback?

That's it, I'll be looking forward to see one of my questions answered during next week class :)