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I think there's probably a difference between an intro to computer science course and the PhD level papers that discuss the ability of machines to learn and decide, but my experience in this is limited to my PhD in the topic.
And, no, textbooks are often not peer reviewed in the same way and generally written by graduate students. They have mistakes in them all the time. Or grand statements taken out of context. Or are simplified explanations because introducing the nuances of PAC-learnability to somebody who doesn't understand a "for" loop is probably not very productive.
I came here to share some interesting material from my PhD research topic and you're calling me an asshole. It sounds like you did not have a wonderful day and I'm sorry for that.
Did you try learning about how computers learn things and make decisions? It's pretty neat