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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?
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?
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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?
Just finished "Data Mining in 20 Minutes (Coffee Book Series)" - my thoughts
Data Mining in 20 Minutes (Coffee Book Series) contains advanced techniques for compute that even experienced developers will find valuable.
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Has anyone tried the exercises in chapter 7? They're challenging but rewarding!
I appreciate how Data Mining in 20 Minutes (Coffee Book Series) balances theory with practical examples.
Data Mining in 20 Minutes (Coffee Book Series) is worth it just for the appendix on best practices.
I'm halfway through Data Mining in 20 Minutes (Coffee Book Series) and already seeing improvements in my code.