Computing and Data Science

Introduction

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  1. By the end of quarter 1, be able to solve a Rubik's cube in under 8 minutes.
  2. Read The KDD process for extracting useful knowledge from volumes of data.
    1. Write a very brief summary of KDD (a couple of sentences as though you are explaining the article to someone in a different course).
    2. What makes "manual data analysis" impractical?
    3. What is data mining, and how does it relate to KDD?
    4. The KDD Process is described as "interactive and iterative". What does this mean in practice?
    5. What are your main takeaways from the KDD article?