Which is the best book to build a core AI foundation knowledge?
A DevOps engineer with 10 years of experience is seeking recommendations for the best book to build a strong foundational knowledge in AI. Feeling overwhelmed by the abundance of learning resources, they aim to understand how AI works rather than just using tools. An O'Reilly subscription is available, making recommendations from that platform particularly useful for their learning journey.
时间与来源
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发布当时偏移：UTC+02026年10月29日 14:15 UTC
收录当时偏移：UTC+02026年10月29日 19:01 UTC
- 发布
- 2026年10月29日 14:15
- 收录
- 2026年10月29日 19:01
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
I'm a DevOps engineer with 10 years of experience, and I'm feeling overwhelmed by the number of learning resources available for AI.
I want to choose the best book to build a strong foundation in AI and develop a genuine understanding of how it works, rather than just learning how to use AI tools.
Could you please recommend the best book to get started?
Note: I have an O'Reilly subscription, so recommendations available on O'Reilly would be especially helpful.