LEAP into Data Science!With JavaScript

gonzoDavid Gonzalez

@datagonzowww.linkedin.com/in/datagonzo

● Lots of data science stuff● Lots of kids● Lots of pets● Playing outdoors

LEAP into Data Science!With JavaScript

Why?!

ML + JSWhy?

● Smarter validation?● Dynamic/personalize routing,

content, etc.?● Both A & B?● Automation of key points of

friction in your UI?

How?Or: “Should I go to a bootcamp?”

Comparative availability of skills

LabelA category, data point, or phenomenon you want to teach a machine to learn to identify reliably

Explore Statistical and visual explorations of your dataset

Analyze Process of learning how to predict a trend or label from a dataset

Predict Categorizing, identifying, or forecasting a trend from new data

LEAP into Data Science

LEAP Specification

Version: Alphagoo.gl/zL9Gpb

Labels

Classification

Forecast

Explore

http://vega.github.io/

Vega 2.0 Vega-liteD3

AnalyzeWhat should you care about?

● Performant● Exhaustive● Accurate● Repeatable

AnalyzeWhat shouldn’t you care

about?

● Algos● Languages● Features

datalabel

Labeled Dataset

Analyze

Saved Analysis

Machine Learning Algorithms

Label Text

positive Happy Birthday!

negative Get bent!

positive Hell Yeah!

negative #%*@ YOU!

Sentiment

Label Sales1/1/2016 $170.001/2/2016 $141.001/3/2016 $160.001/4/2016 $139.001/5/2016 $200.001/6/2016 $193.001/7/2016 $163.001/8/2016 $200.00

ForecastLabel Image

cat

dog

IdentifyLabel Value Timenormal 1.4 142223600normal 1.5 142223605normal 1.6 142223610anomaly 1.9 142223615anomaly 2.1 142223620anomaly 1.9 142223625

Anomaly

userAction Figures Clothing

Digital Downloads Books

Customer 1 0 1 0 1Customer 2 0 0 1 1Customer 3 0 1 1 1Customer 4 1 1 1 1Customer 5 1 0 1 0Customer 6 1 0 0 0

Recommendation

Label Last loginAvg Time on Page

Age of account

Red 1/1/2016 0:00:00 100 130

Yellow 4/2/2016 0:00:00 200 360

Green 4/3/2016 0:00:00 250 489

Recommendation

Predict

data labelSaved

Analysis

Label Text

positive Happy Birthday!

negative Get bent!

positive Hell Yeah!

negative #%*@ YOU!

positive Have a great day!

Sentiment

Label Sales1/1/2016 $170.001/2/2016 $141.001/3/2016 $160.001/4/2016 $139.001/5/2016 $200.001/6/2016 $193.001/7/2016 $163.001/8/2016 $200.001/9/2016 $189.00

ForecastLabel Image

cat

dog

cat

IdentifyLabel Value Timenormal 1.4 142223600normal 1.5 142223605normal 1.6 142223610anomaly 1.9 142223615anomaly 2.1 142223620anomaly 1.9 142223625normal 1.8 142223630

Anomaly

userAction Figures Clothing

Digital Downloads Books

Customer 1 0 1 0 1Customer 2 0 0 1 1Customer 3 0 1 1 1Customer 4 1 1 1 1Customer 5 1 0 1 0Customer 6 1 0 0 0Customer 7 0 1 1 1

Recommendation

Label Last loginAvg Time on Page

Age of account

Red 1/1/2016 0:00:00 100 130

Yellow 4/2/2016 0:00:00 200 360

Green 4/3/2016 0:00:00 250 489

Red 2/3/2016 0:00:00 140 90

RecommendationNew data Prediction

WalkthroughPredict account creation with dataset: s3://aml-sample-data/banking.csv

LabelDataset: Banking Marketing Data Set

https://archive.ics.uci.edu/ml/datasets/Bank+Marketing

Label:

Has the client subscribed a term deposit?

age job ... contact euribor3m nr_employed y

44 blue-collar cellular 4.963 5228.1 0

53 technician cellular 4.021 5195.8 0

28 management cellular 0.729 4991.6 1

39 services cellular 1.405 5099.1 0

55 retired cellular 0.869 5076.2 1

30 management cellular 4.961 5228.1 0

37 blue-collar cellular 1.327 5099.1 0

39 blue-collar cellular 1.313 5099.1 0

36 admin. cellular 1.266 5076.2 1

27 blue-collar cellular 1.41 5099.1 0

34 housemaid telephone 4.864 5191 0

41 management cellular 4.964 5228.1 0

Explorew/ Voyager

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Analyzew/ AWS Machine Learning

Predictw/ AWS Machine Learning

Predictw/ JavaScript SDK

Documentation:http://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/MachineLearning.html#predict-property

Links

● LEAP into Data Science (blog post)● How to create Citizen Data Scientists● LEAP Specification● Vega & Vega Online Editor● Voyager (Explore your data)● AWS Machine Learning JavaScript

SDK docs● Example prediction w/ javascript● Commentable version of these slides● Experimental single-step app