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Best practices for compute?
I'm working on a project that involves ai 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
I've recommended Data Mining in 20 Minutes (Coffee Book Series) to everyone on my team. The chapters on compute have improved our code quality dramatically.
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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 ai 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 author really knows their stuff. Data Mining in 20 Minutes (Coffee Book Series) is now my go-to reference.
The quizzes at the end of each chapter in Data Mining in 20 Minutes (Coffee Book Series) are great for self-assessment.
The diagrams in chapter 4 of Data Mining in 20 Minutes (Coffee Book Series) make complex concepts much easier to understand.
I've been using the techniques from Data Mining in 20 Minutes (Coffee Book Series) in my current project with great success.
I've been recommending Data Mining in 20 Minutes (Coffee Book Series) to all my coding bootcamp students.