rubin presentation

A consulting project by

Douglas Rubin

•  Y Combinator backed startup •  Data-‐based analytics to growers and sellers

•  ~ $2 billion high growth market (Forbes, Feb. 2015)

•  Completely new space

http://douglasrubin.zohosites.com

Data •  User experience data •  Lab data


Chem 2 Chem 1 Strain Name

25.42 1.23

30.31 0.97

15.56 2.01

19.01 1.55

21.59 0.79

Strain Name

Euphoric Paranoid

1 0

1 1

0 1

0 0

1 1

Douglas Rubin

Algorithm

Douglas Rubin

Cluster in chemical space (k-‐means)

MC iteration for each cluster to match names

Build up “feelings” distribution for each

cluster

Statistically validate difference between

“feelings” distributions


Chem 2 Chem 1 Strain Name

25.42 1.23

30.31 0.97

15.56 2.01

19.01 1.55

21.59 0.79

Strain Name

Euphoric Paranoid

1 0

1 1

0 1

0 0

1 1

Results

Douglas Rubin http://douglasrubin.zohosites.com

Ps < 0.1

Kolmogorov-Smirnov test:

fraction)who)felt)energetic)

Probability)

cluster 1 cluster 2

Actionable Insights for Company


•  Several broad chemical clusters associate more (or less) with particular feelings

•  Consistent nomenclature cluster 1 cluster 2 cluster 3 cluster 4

About me

Douglas Rubin

www.Klickpredict.net


Results

Douglas Rubin

Ps < 0.1

Kolmogorov-Smirnov test:


Results


Supervised Learning


•  Standard classiKication algorithms performed poorly (random forest, logistic regression, etc…)

rubin presentation

Data & Analytics