Here is another update on my Personal PhD progress. This time short and sweet 🙂

I have finished week 6 of the Coursera’s Machine Learning course by Andrew Ng. This section of the course was a little easier than week 5. Week 5 probably was the hardest week of all (had to implement a backpropagation algorithm). Week 6 talked about training error, cross-validation and test-errors and the usefulness of plotting them. Now I really understand how to interpret learning curve graphs I have seen at work! So another proof that taking this course is helpful for my work.

Also read few more chapters  (6 and 7) of the Programming Collective Intelligence book.