> "if you don't know what a derivative is, that is fine".
A bit of me died when I heard prof. Ng say that. However, I had committed to finishing ml-class and I did. As of now, I'm glad I went through with it. I felt like I was learning all these cool AI techniques that I hadn't heard about. However, the proof is in the pudding. The question is will I be able to take a real world problem and apply what I learned in that class to come up with something interesting? If I can't you are probably right. My perfect record would only be worth the paper it's printed on and the money I paid for the course!
I'm not pointing fingers at Prof. Ng. or anyone here. It was an experiment for Stanford and an experiment for me. I know I am looking forward to the courses next year :).
Comments
> "if you don't know what a derivative is, that is fine".
A bit of me died when I heard prof. Ng say that. However, I had committed to finishing ml-class and I did. As of now, I'm glad I went through with it. I felt like I was learning all these cool AI techniques that I hadn't heard about. However, the proof is in the pudding. The question is will I be able to take a real world problem and apply what I learned in that class to come up with something interesting? If I can't you are probably right. My perfect record would only be worth the paper it's printed on and the money I paid for the course!
I'm not pointing fingers at Prof. Ng. or anyone here. It was an experiment for Stanford and an experiment for me. I know I am looking forward to the courses next year :).