Finally, I overcame the procrastination to learn to program in Matlab/Octave effectively. I felt very comfortable in dealing with Octave. Previously, I thought Octave had very less features compared to Matlab. It is kind of true. But, you could manage writing code that could solve complex problems without spending much money on a Matlab License.
Andrew Ng has been absolutely phenomenal in explaining complex problems clearly. The new stuff that I learnt was:
- Logistic Regression.
- Neural Nets.
- Support Vector Machines.
- Debugging Machine Learning problems.
- Know how(theory) of using certain optimization algorithms on Map-Reduce.
My background in Pattern Recognition did definitely help in it. I was working in a related area of research, it helped in finishing my Master's Thesis too! Now I'm pretty confident on taking on any ML problem/assignment.
Now, I have time to complete other interesting courses such as Probabilistic Graphical Models and Neural Networks for ML.
Thanks Dr. Andrew Ng and Thank you Coursera!
And yeah, this my certificate.
