This is a talk I have at Tulsa Tech Fest 2016.

2. How to get started in
Data Science from scratch
Frank D. Evans

9. A Data Scientist is
a data analyst that
lives in California

10. A Data Scientist is
a better mathematician than
any of the programmers,
and a better programmer than
any of the mathematicians.

12. OSEMN

13. OSEMN
Obtain

14. OSEMN
Scrub

15. OSEMN
Explore

16. OSEMN
Model

17. OSEMN
Interpret

22. T
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23. T
O
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L
S

24. T
O
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25. T
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27. Data is huge.
People are expensive.
Computation is cheap.

28. Use applied statistics
to let the computers
program themselves.

29. Types

30. Types
Supervised
"I have a set of
examples with the right
answers, I want to learn
a pattern and use it on
examples where I don't
have the answers."

31. Types
Unsupervised
"I have data with no
answers, but I want
to find a pattern
that might lead me
to an answer."

32. Types
Reinforcement
"I want to start with
what I know now,
and be able to learn
new things as new
data comes along."

33. Types
Supervised
"I have a set of
examples with the right
answers, I want to learn
a pattern and use it on
examples where I don't
have the answers."
Unsupervised
"I have data with no
answers, but I want
to find a pattern
that might lead me
to an answer."
Reinforcement
"I want to start with
what I know now,
and be able to learn
new things as new
data comes along."

34. Types
Supervised
"I have a set of
examples with the right
answers, I want to learn
a pattern and use it on
examples where I don't
have the answers."
Unsupervised
"I have data with no
answers, but I want
to find a pattern
that might lead me
to an answer."
Reinforcement
"I want to start with
what I know now,
and be able to learn
new things as new
data comes along."

35. Regression vs Classification
Supervised Learning

36. Regression
Use continuous data to
make a model that
predicts where new
data will fit.

37. Classification
Label data into
"buckets", and make
predictions on which
bucket a new data
point will fall into.

40. exaptive.com/blog
Frank D. Evans
@frankdevans
@exaptive
slideshare.net/frankdevans