Machine learning feels a lot like cpu fabrication in that a homegrown solution is almost certainly going to be inferior to just taking whats on the market and configuring it to fit your needs. If you aren't going to specialize in this field, is there a point in learning how to roll your own ML anymore?
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Machine learning feels a lot like cpu fabrication in that a homegrown solution is almost certainly going to be inferior to just taking whats on the market and configuring it to fit your needs. If you aren't going to specialize in this field, is there a point in learning how to roll your own ML anymore?