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Hey, the advice for getting started in machine learning is wrong.
It's wrong because it's coming from people with intermediate to advanced skills that are making retrospective suggestions.
For example, common advice for getting started includes:
"...You'll need to know Linear Algebra through Eigenvectors if you want things to be easy"
and
"...You do want to have some familiarity with probability, linear algebra, linear programming, and multivariable calculus"
These are actual quotes for getting started in machine learning from Q&A websites.
I don't think that the first step a programmer interested in machine learning should do is take a math course or read a dense
theoretical treatment. I actually strongly recommend against it.
Machine learning is just another power tool that you can use to address hard problems. It does not belong on a pedestal.
Learn more about how the advice you've been given is wrong in the post:
>> Programmers Can Get Into Machine Learning
I’ll speak to you soon.
Jason.
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