• • Victoria Newton@victoriane7

  

  It’s here! (link below), you can find subgroups on the right side panel on main group pages.  The 2022 page was late to be built I think.

  https://landing.athabascau.ca/groups/profile/11752065/comp268-2022/tab/11752067/default

  Victoria Newton January 30, 2022 - 8:05am

• • Megan O.@meganos2

  

  I was wondering the same thing; I've joined the 2021 group for now.

  Megan O. January 17, 2022 - 10:09am

• • Troy@troyke

  

  I am quite confused about this landing aspect. Can't we just do the work and move on? Some of us may be in exreme pain and/or sponsored and just want to learn and go with their own plans. I beleive I would benifit greatly from a friendly guide of sorts to help me finish this course properly, as I tend to just do the work and not think about the social aspect. I would prefer facebook or email for communication rather than here. 

  trykndll@gmail.com 0r Facebook - Troy Kendall. 

  Just say comp266 and I will gladly accept the friend invite. Thank you and I hope to hear from someone soon. 

  Cheers

  Troy June 1, 2020 - 1:49pm

• • Chowdhury Sarker Jihan@chowdhurysa

  

  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.

   

  Chowdhury Sarker Jihan December 1, 2019 - 8:49pm

All site tags