this post is for those that have watched and read many learning resources

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again this post is for those that have watched and read many learning resources


  • the goal is to learn a summary of ml and related

  • then im going to make a better summary for my friends and ppl who knows absolutely nothing about ml


how to reach the goal?

so i've heard that 'Andrew Ngs ml info/content on Coursera' was pretty decent (and also the 'deep learning neural version or something like that)

  • and had little to almost no math, and gave a good overview ppl had said (i dont know if this is accurate or not, but if you know the highest level of math required, that would be good to know)

  • i had googled a bunch of summaries on the ml info/content from the source above

since you are someone that has watched and read many learning resources,

  1. i wanted to know which was the cleanest & best summary

  2. for the info/content from coursera

  3. or just any summaries (ofc we're only talking about good summaries, video is likely the best kind)


anyone that has watched and read many learning resources would be the best person to help with this question

since im not familiar with this topic of ml, im not able to value or determine the quality of the summaries in an accurate way, but (like anyone else that has watched and read many learning resources) im able to tell when it comes to the topics i have more understanding & familiarity with


im sure that many do not have any understanding of ml and would like to know as well


why do this when the average person would never need to know anything about ml?

i dunno, i guess the best answer to this question would be that it's just general knowledge and understanding, taht's pretty much it

even tho it would likely become quickly outdated (but maybe certain things wont? i dunno about this part cos i dont know the ml topic at all)

but i do know that this answer to this particular question is the best answer there is out of a billion possible variations or fundamentally discrete answers to this question (unless i forgot or missed something). and i know that because im a person that has done exactly this: 'watched and read many learning resources' across a wide range of topics & things


again this post is for those that have watched and read many learning resources — specifically about ml & related stuff

and im sure that many do not have any understanding of ml and would like to know as well

submitted by /u/nixos_learner
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