I am an industrial engineer that complete Andrew Ng’s course. I have very large industrial continuous ovens that I want to optimize when they are in upset conditions. Meaning have spots of blank product. I am thinking a neural network may work but I am not sure. I rather use linear regression but I think that is better for steady state. How do I get help on how to best tackle this problem?