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How does "Data Mining in 20 Minutes: (Coffee Book Series)" compare to other resources?
I'm considering getting "Data Mining in 20 Minutes: (Coffee Book Series)" but wanted to hear from those who have read it. How does it compare to other books or online courses on ai?

How does "Data Mining in 20 Minutes: (Coffee Book Series)" compare to other resources?
I'm considering getting "Data Mining in 20 Minutes: (Coffee Book Series)" but wanted to hear from those who have read it. How does it compare to other books or online courses on compute?




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Best practices for compute?
I'm working on a project that involves compute and looking for advice on best practices. Has anyone read "Data Mining in 20 Minutes: (Coffee Book Series)" and can recommend specific chapters?
Just finished "Data Mining in 20 Minutes: (Coffee Book Series)" - my thoughts
What sets Data Mining in 20 Minutes: (Coffee Book Series) apart is its focus on practical compute techniques. You can immediately apply what you learn to real projects.
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Data Mining in 20 Minutes: (Coffee Book Series) helped me prepare for my technical interview on this topic.
Data Mining in 20 Minutes: (Coffee Book Series) is worth it just for the appendix on best practices.
I've been recommending Data Mining in 20 Minutes: (Coffee Book Series) to all my coding bootcamp students.
The diagrams in chapter 4 of Data Mining in 20 Minutes: (Coffee Book Series) make complex concepts much easier to understand.
I appreciate how Data Mining in 20 Minutes: (Coffee Book Series) balances theory with practical examples.