Summary
This will be the final videos of machine learning class in Coursera
-
With some labeled dataset, we have many supervised learning algorithm
-
As well in unsupervised learning algorithm
-
We also have special topics, like parallel system, map reduce, collaborative filtering
-
And then we also talk about how we know whether our machine learning work or not, and kinds of analysis that help us to increase the performance and prioritise the work on ML
-
So that’s all wrap up for Andrew Ng for Machine Learning
-
Eventhough this is the class is somewhat burden to us that having some busy time, we still manage to complete this.
-
And for that Andrew Ng thanking us. Good Luck!
