- [Question] How to build a Portfolio as a #DataScience Engineer ? http://varianceexplained.org/r/start-blog/ 3 comments cscareerquestions
Linking pages
- How to Build a Data Science Portfolio | by Michael Galarnyk | Towards Data Science https://medium.com/@GalarnykMichael/how-to-build-a-data-science-portfolio-5f566517c79c 23 comments
- “Should I get a PhD to be a data scientist/analytics professional?” http://tommyblanchard.com/should-i-get-a-phd-to-be-a-data-scientistanalytics-professional 14 comments
Linked pages
- Impostor syndrome - Wikipedia https://en.wikipedia.org/wiki/Impostor_syndrome#The_impostor_cycle 671 comments
- Text analysis of Trump's tweets confirms he writes only the (angrier) Android half – Variance Explained http://varianceexplained.org/r/trump-tweets/ 485 comments
- One year as a Data Scientist at Stack Overflow – Variance Explained http://varianceexplained.org/r/year_data_scientist/ 50 comments
- K-means clustering is not a free lunch – Variance Explained http://varianceexplained.org/r/kmeans-free-lunch/ 19 comments
- Words growing or shrinking in Hacker News titles: a tidy analysis – Variance Explained http://varianceexplained.org/r/hn-trends/ 14 comments
- Analyzing networks of characters in 'Love Actually' – Variance Explained http://varianceexplained.org/r/love-actually-network/ 13 comments
- The 'lost boarding pass' puzzle: efficient simulation in R – Variance Explained http://varianceexplained.org/r/boarding-pass-simulation/ 6 comments
- Understanding empirical Bayes estimation (using baseball statistics) – Variance Explained http://varianceexplained.org/r/empirical_bayes_baseball/ 0 comments
- Announcing the release of my e-book: Introduction to Empirical Bayes – Variance Explained http://varianceexplained.org/r/empirical-bayes-book/ 0 comments
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