All the best in the AI course, Philip. I suppose I'll see you in January 2020 (enrolled in the same course). As a matter of fact, professor Dr. Chang is my supervisor for one of their ongoing game-based learning projects ongoing. 

In respect to data science, most of the individuals I know professionally are not grounded in AI theoretical aspects. Unless you're looking into AI research shops, an employer will settle with software engineering skills. In my experience, engineering skills are more valued in this domain.

It is mostly learning a few Python/R libraries, SQL and gumption in domain knowledge. However, once you focus on the Deep Learning part then machine learning, linear algebra, differential calculus begin to percolate. In all fairness, most of the time in data science is actually spent in data cleansing (some prefer to say data wrangling). As a matter of fact, there is a growing debate lately whether or not the data science fad is dying. 

I'm currently enrolled in Data Mining (COMP 682). Along with the AI course, I hope to gain valuable academic insights into that aspect of IS.

Hi Philip,

This is really interesting, thanks for sharing! As you have highlighted here it is amazing how much tech there is in farming today.

Keep up the good work!

Richard