Depends, but if you are going to be doing engineering work within ML (there is somewhat of an imperfect trichotomy of scientists, engineers, and power users within ML), you are going to want to cover the web dev stuff anyway. Of course, the probability stuff more directly applies to ML as a discipline. With all this being said, I wouldn’t be super concerned with mapping HS courses to post-grad utility. Your biggest considerations, IMO, are what you are most interested in studying right now, and what is most strategic for you for college admissions.
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