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Software Engineers, the New Data Scientists
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Christophe Bourguignat
June 15, 2016
Technology
1
140
Software Engineers, the New Data Scientists
scikit-learn day / PyData Paris / 15.06.16
Christophe Bourguignat
June 15, 2016
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Transcript
Christophe Bourguignat @chris_bour / @zelrosHQ scikit-learn day / PyData Paris
/ 15.06.16
None
MODERN EXAMPLE (1936)
SOLUTION 1 : USE EXCEL (easy)
SOLUTION 2 : CODE A SIMPLE BUT ROBUST ALGORITHM (medium)
SOLUTION 3 : DIVE INTO THEORY AND IMPLEMENT (hard) Gilles
Louppe
Hopefully Scikit-Learn Does Exist (and this changes everything)
Machine Learning Without Learning the Machinery
100 000
“I put one of my courses online and it reached
an audience of 100 000 students”
250
“To reach a comparable sized audience I would have had
to teach at Stanford for 250 years”
Andrew Ng
https://www.google.fr/trends/explore#q=kaggle Kaggle Creation
Scikit-learn Moocs Kaggle Time for a Venn Diagram !
Machine Learning Has Become a Meritocracy
WHO IS THE MASS POPULATION BEST PLACED TO LEVERAGE THIS
MERITOCRACY ?
WHO IS THE MASS POPULATION BEST PLACED TO LEVERAGE THIS
MERITOCRACY ?
None
Gartner, 2016
Many Scikit-Learn contributors are themselves software engineers Analysis of 40
scikit-learn contributors Linkedin Profiles
Who will be the New New Data Scientist ?
Citizen Data Scientist
None
TOP 5%
We will all be kind of data scientists (in a
way or an other)
None
We are hiring Data Scientists Software Engineers
[email protected]
Wanting to
become
@chris_bour / @zelrosHQ