Fairly new to the ML and DL universe. Was wondering what would be the best approach to create a model that should a predict a target variable based on features that have numerical, categorical, Text and Image elements.
One example for such a problem would be the latest Kaggle Competition.
Any DL model should work fine for that. We cover multi-modal learning in http://course.fast.ai so maybe start there?
Thanks a lot. I believe that is covered in the Part 2 of Cutting Edge DL Course?. Currently I am about to finish Part 1. Will Check it out for sure. Thanks again.
Yes part 2 would be a good idea for learning more about this. Feel free to ask in that forum if you finish that course and still aren’t sure.