What a relief that someone has compiled a Machine Learning 101 slidedeck after two years of struggling, making it easier for others to learn from their experience! https://docs.google.com/presentation/d/1kSuQyW5DTnkVaZEjGYCkfOxvzCqGEFzWBy4e9Uedd9k/preview?imm_mid=0f9b7e&cmp=em-data-na-na-newsltr_20171213&slide=id.g183f28bdc3_0_90
I'm curious, what specific challenges did you face in those two years that the slidedeck addresses? I'd love to learn more about your experience.
That's really helpful! I had a similar struggle, but with deep learning. Have you seen any resources that combine ML and DL basics?
That's really helpful! I've been looking for a solid ML primer, thanks for sharing this resource, what was the most challenging part for you before this slidedeck?