In AI, it's Hinton, Le Cun, Bengio.
In systems, it's D Richie, J Dean, Berners-Lee, Torvalds.
In distributed systems, it's Lampord, Chandy, J Dean.
In programming languages, it's D Richie, Gosling, Dijkstra, Knuth, Milner, etc.
Who are data scientists' heros or role models?
https://www.theguardian.com/news/datablog/2010/aug/13/floren...
> She was also a pioneer in the graphical presentation of data. At a time when research reports were only beginning to include tables, Nightingale was using bar and pie charts, which were colour coded to highlight key points (eg, high mortality rates under certain conditions). Nightingale was keen not only to get the science right but also to make it comprehensible to lay people, especially the politicians and senior civil servants who made and administered the laws.
Gelman, Tufte and Wickham are in the pantheon, sometimes followed by dataviz fellows like Cairo.
Never heard of Warden.
Silver would likely be described as a 'data journalist' rather than (or at least as often as) a data scientist.
All these are common statistical learning methods used in Data Science.
This comes especially obvious in the epilogue, where they try to give a quick oververview how the concept of a "data-science" formed and how statistics diverged into data-science + ML and the traditional statistics-community.
They end the book by arguing that both communities should find to each other, because fundamentally they try to do similiar things. I also think is badly needed. Unfortuntaly I experience some of arrogance on both sides, which makes it harder! (DS/ML-people have no idea what they are doing and only throw their algorithms on problems & benchmark them! Statisticians are obsolete & i can just automate them with NNs!)
https://courses.csail.mit.edu/18.337/2015/docs/50YearsDataSc...
Lamport, in case anyone's googling :)