Algorithmic modeling vs data modeling
In this whitepaper from 2001, Dr. Leo Breiman, the creator of the random forest algorithm, talks about the benefits of a machine learning ("algorithmic modeling") versus a more traditional statistic approach ("data modeling").
- His road map
- Projects in consulting
- Return to the university
- The use of data models
- The limitations of data models
- Algorithmic modeling
- Rashomon and the multiplicity of good models
- Occam and simplicity vs. accuracy
Even considering that the epaper is from 2001, it is still a very interesting read and highly recommended.
You will also find PDF's via Google Search, should you not want to give out your email adress.
On Slideshare you will also find a presentation that builds on the pdf.
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