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Best practices for ai?
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?
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?
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Just finished "Data Mining in 20 Minutes: (Coffee Book Series)" - my thoughts
The Data Mining in 20 Minutes: (Coffee Book Series) book provides comprehensive coverage of ai that I haven't found in any other resource.
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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The diagrams in chapter 4 of Data Mining in 20 Minutes: (Coffee Book Series) make complex concepts much easier to understand.
I found the section on error handling particularly helpful in Data Mining in 20 Minutes: (Coffee Book Series).
I've been recommending Data Mining in 20 Minutes: (Coffee Book Series) to all my coding bootcamp students.
Data Mining in 20 Minutes: (Coffee Book Series) helped me prepare for my technical interview on this topic.
Has anyone tried the exercises in chapter 7? They're challenging but rewarding!