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Things I didn't learn in my econometrics classes that are used all over in data science: 1) Machine learning techniques for analysing data sets as opposed to p
by dangerlibrary 13y ago
Things I didn't learn in my econometrics classes that are used all over in data science:
1) Machine learning techniques for analysing data sets as opposed to parametric models
2) Clustering (k-means, etc.)
3) TF / IDF
4) Using a variety of data sources / tools - my econometrics educations was heavily Stata dependent. Learn a little bit of SQL, R, and Matlab so that getting up to speed doesn't take you longer than a month.
- jjsz 13y agoThanks. What do you mean TF / IDF?
- dangerlibrary 13y agoIt's a method of determining which words in an arbitrary collection of documents (tweets, for instance) are most important when classifying those documents. Term-Frequency-Inverse-Document-Frequency. Assigns each word a score based on how often it appears in a document relative to how often it appears in all documents. https://en.wikipedia.org/wiki/Tf%E2%80%93idf https://en.wikipedia.org/wiki/Tf%E2%80%93idf