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Building a Beer 
Recommender with Yhat 
PAPIs.io 
November 2014
1) Intro 
2) The Problem: Building predictive apps 
3) Solutions 
4) Case Study: Beer Recommender 
5) Demo 
6) Q/A
Hi, I’m Greg! 
Here I am on 
the Internet. 
Founder/CTO @ Yhat
Founders Company 
Austin Ogilvie, CEO ● Launched in 2013 
Investors 
Greg Lamp, CTO 
● HQ in New York
Why is Data Science 
so talked about? 
regression
Customers & Front Line Employees 
Get Raw Data 
Strategic 
Insights 
Data Driven Products 
Real World 
Scoring 
Business Impact 
Clean Data 
Stages of the Analytics Project Life Cycle 
Management 
Expert data teams
What makes building 
analytical apps hard?
Meet Trey, the Data Scientist 
Hi, I’m Trey.
We need to reduce 
churn. Okay. I'll look into it.
The "a ha" moment isn't the end. 
I figured out that....some 
complex stuff about vector 
space that'll improve... 
....and that's how we'll 
reduce churn. 
Sounds good. Let's do 
that...
So when can we go live 
with the new model? 
Any of you know what 
Gradient Boosting is?
Now what?
Options
1) Translate Code
2 Rebel 
Policemen 2
2) PMML
?
3) Batch Jobs
use your tools
use your tools move quickly
use your tools move quickly 
any workflow
use your tools move quickly 
any workflow no translating
Case Study
+ = ?
A Beer Recommender in Python
http://beers.yhathq.com
The Data
http://snap.stanford.edu/data/web-BeerAdvocate.html
Beers
Users
Ratings
Distance
vs
vs
measuring 
similarity
eeny 
? ?
eeny meeny 
?
? 
Cosine 
eeny meeny miny
? 
Cosine 
moe
pick one. 
you can always 
change
Thank you,
Scoring
Aggregate
Sort
Filter
Return
Deployment
What does this mean?
Import Yhat
Create a YhatModel
Define execute
Grab incoming data
Call your function
Format and return results
Demo 
https://beers.yhathq.com/
deploy your own 
git@github.com:yhat/beer-rec.git 
Python/R Source on github
We’re Hiring 
info@yhathq.com
Thanks! 
@yhathq 
greg@yhathq.com 
yhathq.com
Appendix
アーノルド坊やは人気者 
Little Arnold Boy is Popular 
Diff’rent Strokes
Unitless y-axis 
Time

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