Learning paths for beginners

Hi all,

I am quite new in the community here and absolutely enjoy the courses so far. I am currently finishing the Math for AI specialization so wondering what my next course should be. My final goal is to reach the NLP course but wondering whether I need to go through the ML for beginners and Deep learning courses first. My point is that many of the topics overlap especially when it comes to regression models so I wanted to design a good learning path for me and to avoid learning the same concepts over and over again. The math courses labs are specifically focused on building simple models. Any recommendations would be greatly appreciated. Thanks so much in advance!

Yes, after this course I would recommend the MachineLearning Specialization and after that the Deep Learning Specialization, then finally the NLP Specialization.

This is called human conditioning or programming Tom, which could be good as as far as mechanical efficiency is concerned but is represive towards inteligence​:neutral_face: