[HN Gopher] Machine Learning - A First Course for Engineers and ...
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       Machine Learning - A First Course for Engineers and Scientists
        
       Author : osivertsson
       Score  : 67 points
       Date   : 2021-08-13 08:39 UTC (14 hours ago)
        
 (HTM) web link (smlbook.org)
 (TXT) w3m dump (smlbook.org)
        
       | omarhaneef wrote:
       | Of course I am grateful for all the people who put in effort to
       | teach people things, and then doubly grateful for people who make
       | it accessible and triply grateful for those who make it free.
       | 
       | At this point _a guide to machine learning guides_ would also be
       | a huge contribution. Some ideas for ranking /filtering/grading
       | features: how much math, how much hands on, which language,
       | assumed knowledge and pedagogical strategy/path.
        
         | andreyk wrote:
         | Seriously, how do these kinds of things keep hitting first page
         | HN? Quality aside, who on HN thinks this is of interest to the
         | community in terms of being novel / worth discussing?
        
           | anon_tor_12345 wrote:
           | i'm gonna get downvoted for elitism but it's very clearly
           | "aspirational upvotes" from people that don't actually know
           | any ML and won't ever end up learning any. to wit: no one
           | that actually studies seriously spends this much time
           | wringing their hands over which reference to use.
           | 
           | you don't keep cycling through references that seem better
           | because that's a sure way to never make any progress - you
           | pick a reference and grind through it. maybe with occasional
           | double checking against some other reference sure but you
           | never end up ditching the first one because the cost of
           | changing notations/formalisms/etc is very very high and not
           | worth paying almost ever (since intrinsically they're all
           | talking about the same thing anyway). this is the reason that
           | profs today still teach from the books they learned from 30
           | years ago.
        
           | strangecasts wrote:
           | It might partly be an "upvote to read later" thing?
        
       | mark_l_watson wrote:
       | Looks good. I like the math and theory, but no code approach.
        
       | trash3 wrote:
       | The intro seems really funny to me. They could find no textbook
       | that covers these topics so they printed their own. Meanwhile
       | ISLR just released their 2nd edition. This book is the gold
       | standard of all textbooks let alone on statistical learning.
       | Their efforts would have been better covering case studies or
       | advanced applications well.
        
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       (page generated 2021-08-13 23:02 UTC)