1.掌握data cleaning, processing, filtering, present的具体过程。
2.阅读一些case来了解,如果deal with ambiguity和如何prioritize needs.
3. 怎么来确定baseline,还有识别谁为因,谁为果,determine cause and effect relations
4. 学习NLP+clustering
5.学习feature extraction和model evaluation
6.怎么做cross-validation
7.怎么解决over-fitting
8.阅读书籍关于大数据如何research 和boost user engagement,用户参与和用户体验是王道
9.学习recommendation system
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