Quick presentation to Data Science for Developers and it's tools ecosystem. DevFest 2015, Google Developer Group Córdoba.

1. Data Science for Developers
Quick & Dirty Introduction to Data Science tool’s Ecosystem

2. @pdelboca @pcelayes
Patricio Del Boca Pablo Celayes

3. Agenda
¿Por qué esta charla?
¿Por qué Data Science?
Data Science
Herramientas
Preguntas

4. ¿Por qué esta charla?

5. Objetivo
Recorrido por la definición de la disciplina y las principales herramientas que hay
para trabajar.

6. ¿Por qué Data Science?

7. 2015

8. Bajos costos de procesamiento,

9. muchos datos,

10. y algoritmos.

11. Raise of Data Science

12. “Data Science is a team sport.”
DJ Patil - Chief Data Scientist @ White House
”

13. Visualizing Nepal’s Earthquake
The Human Size of Data Science

14. Diabetic Retinopathy Detection
Identify signs of diabetic retinopathy in eye
images

15. Click-Through Rate Prediction
Predict whether a mobile ad will be clicked.

16. Improve Healthcare
Identify patients who will be admitted to a
hospital within the next year using historical
claims data.

17. A taxonomy for Data Science (V 2.0)
Methodology Data
Manipulation
Data
Modeling
Data
Visualization
Define
Obtain
Scrub
Explore
Model
Interpret
Communicate
http://www.dataists.com/2010/09/a-taxonomy-of-data-science/

18. A taxonomy for Data Science (V 2.0)
Methodology Data
Manipulation
Data
Modeling
Data
Visualization
Define
Obtain
Scrub
Explore
Model
Interpret
Communicate
http://www.dataists.com/2010/09/a-taxonomy-of-data-science/

19. A taxonomy for Data Science (V 2.0)
Methodology Data
Manipulation
Data
Modeling
Data
Visualization
Define X X
Obtain X
Scrub X
Explore X X X
Model X X
Interpret X X X
Communicate X X
http://www.dataists.com/2010/09/a-taxonomy-of-data-science/

20. Data Scientist Main Toolkit

21. Define what are you trying to solve

22. Data Manipulation
dplyr
http://pandas.pydata.org/https://github.com/hadley/dplyr

23. Data Modeling in R
randomForest
lm
nnet
gbm
e1071

24. Data Modeling in Python
sklearn.tree.DecisionTreeClassifier
sklearn.linear_model.LinearRegression
sklearn.svm.SVC
sklearn.svm.SVR
sklearn.ensemble.RandomForestClassifier
sklearn.ensemble.GradientBoostingClassifier

25. Data Modeling
CRAN
https://cran.r-project.org/web/views/MachineLearning.html http://scikit-learn.org/

26. Data Visualization
R Base Graphics
Lattice
Bokeh
seaborn
pandas.plot()

27. Data Visualization
+

28. Power up!

29. “The best minds of my generation are thinking
about how to make people click ads.
… that sucks.”
Jeff Hamerbacher - Former Data Scientist @ Facebook
”

30. Preguntas?
?

31. Muchas Gracias!
http://www.meetup.com/es/Encuentros-Data-Science-Cordoba/