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Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Visualizing Inference 
Seeing Meaning in the Age of Big Data 
Alex Morrise 
October 9, 2014
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
1 Big Data meets Machine Learning 
2 Machine Learning Pros and Cons 
What is Business Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
3 Visualizing Inference 
ML Infancy 
Cases Studies 
4 Summary
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
“Machine Learning is the antidote to having to 
write down billions of business rules” 
Machine Learning Uses Include: 
User Personalization
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
“Machine Learning is the antidote to having to 
write down billions of business rules” 
Machine Learning Uses Include: 
User Personalization 
Finding Predictors to a given Objective (Revenue, 
Churn, Volatility, Moods, Sentiment, Market Cap, 
Stocks, Biomedical, Risk Assessment, etc)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
“Machine Learning is the antidote to having to 
write down billions of business rules” 
Machine Learning Uses Include: 
User Personalization 
Finding Predictors to a given Objective (Revenue, 
Churn, Volatility, Moods, Sentiment, Market Cap, 
Stocks, Biomedical, Risk Assessment, etc) 
Fraud Detection (Purchases, Identity Thief, Health 
Insurance, Governments)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
“Machine Learning is the antidote to having to 
write down billions of business rules” 
Machine Learning Uses Include: 
User Personalization 
Finding Predictors to a given Objective (Revenue, 
Churn, Volatility, Moods, Sentiment, Market Cap, 
Stocks, Biomedical, Risk Assessment, etc) 
Fraud Detection (Purchases, Identity Thief, Health 
Insurance, Governments) 
Optimizing Decision Flows (Shipping, Markets, 
Robotics, Database Migrations, Team resource 
allocation and management, etc...)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
“Machine Learning is the antidote to having to 
write down billions of business rules” 
Machine Learning Uses Include: 
User Personalization 
Finding Predictors to a given Objective (Revenue, 
Churn, Volatility, Moods, Sentiment, Market Cap, 
Stocks, Biomedical, Risk Assessment, etc) 
Fraud Detection (Purchases, Identity Thief, Health 
Insurance, Governments) 
Optimizing Decision Flows (Shipping, Markets, 
Robotics, Database Migrations, Team resource 
allocation and management, etc...) 
Key Take Away 
Every Industry is Touched by Machine Learning
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Companies are being inundated with data: 
User Behavioral Data/Click Stream (purchases, views, 
engagement, interests)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Companies are being inundated with data: 
User Behavioral Data/Click Stream (purchases, views, 
engagement, interests) 
Sensor Data (Internet of Things, smart meters, 
construction, management)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Companies are being inundated with data: 
User Behavioral Data/Click Stream (purchases, views, 
engagement, interests) 
Sensor Data (Internet of Things, smart meters, 
construction, management) 
B2B (SaaS management tools across all industries, 
Salesforce, etc)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Companies are being inundated with data: 
User Behavioral Data/Click Stream (purchases, views, 
engagement, interests) 
Sensor Data (Internet of Things, smart meters, 
construction, management) 
B2B (SaaS management tools across all industries, 
Salesforce, etc) 
B2C (Uber, Netflix, google)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Companies are being inundated with data. They all have 
one thing in common. 
They want a way to capitalize on the real meaning behind 
the data. 
Bayesian methods allow the discovery of the latent 
properties in data, while assessing our confidence in 
the models certainty/ignorance. 
Hypothesis testing, parameter estimation, confidence 
intervals, etc..
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Why do businesses need Machine Learning/Data Science? 
They have plenty of data to train expert systems
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Why do businesses need Machine Learning/Data Science? 
They have plenty of data to train expert systems 
Traditional BI may not be able to find the correct 
patterns
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Why do businesses need Machine Learning/Data Science? 
They have plenty of data to train expert systems 
Traditional BI may not be able to find the correct 
patterns 
Shifting focus from traditional 20th century business 
objectives, companies need to convert their value 
propositions into technological currency.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business value of Machine 
Learning and Data Science? 
Why do businesses need Machine Learning/Data Science? 
They have plenty of data to train expert systems 
Traditional BI may not be able to find the correct 
patterns 
Shifting focus from traditional 20th century business 
objectives, companies need to convert their value 
propositions into technological currency. 
Users & Businesses are sophisticated and want 
intelligence in their applications
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business Value of BI? 
Traditional BI tools and methods (Tableaux, Splunk, etc), are 
amazing, sophisticated and potentially misleading 
Example: Splitting demographic data into seemingly 
good piles and running aggregating reporting over 
those splits.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business Value of BI? 
Traditional BI tools and methods (Tableaux, Splunk, etc), are 
amazing, sophisticated and potentially misleading 
Example: Splitting demographic data into seemingly 
good piles and running aggregating reporting over 
those splits. 
Wonderful if you want to know what women ages 24-26 
are purchasing in Los Angeles this month.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
What is the Business Value of BI? 
Traditional BI tools and methods (Tableaux, Splunk, etc), are 
amazing, sophisticated and potentially misleading 
Example: Splitting demographic data into seemingly 
good piles and running aggregating reporting over 
those splits. 
Wonderful if you want to know what women ages 24-26 
are purchasing in Los Angeles this month. 
What about Behavior?
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Businesses want Automatic Action 
Finding Behavior in a Automatic Actionable Way 
Finding Behavior requires leveraging the power of 
machine learning to tease out the meaning behind the 
observations in a crowd sourced way.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Businesses want Automatic Action 
Finding Behavior in a Automatic Actionable Way 
Finding Behavior requires leveraging the power of 
machine learning to tease out the meaning behind the 
observations in a crowd sourced way. 
Bayesian methods such as Factorizations, Hierarchical 
Clustering, and other Topic models, extract meaning 
from the data.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Businesses want Automatic Action 
Finding Behavior in a Automatic Actionable Way 
Finding Behavior requires leveraging the power of 
machine learning to tease out the meaning behind the 
observations in a crowd sourced way. 
Bayesian methods such as Factorizations, Hierarchical 
Clustering, and other Topic models, extract meaning 
from the data. 
Once model is fit, observations of Behavior connect to 
Actions in the system (API), yielding an automatic 
intelligent way to process information and transactions.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Disclaimer: Value of ML? 
Let’s be Honest: 
ML can also lead to misleading results when used in the 
wrong hands: 
Running a Decision Tree on demographic data could 
likely split the population by M/F right off the bat.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Disclaimer: Value of ML? 
Let’s be Honest: 
ML can also lead to misleading results when used in the 
wrong hands: 
Running a Decision Tree on demographic data could 
likely split the population by M/F right off the bat. 
This split will lead to misleading results as it tries to 
explaining the objective.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Disclaimer: Value of ML? 
Let’s be Honest: 
ML can also lead to misleading results when used in the 
wrong hands: 
Running a Decision Tree on demographic data could 
likely split the population by M/F right off the bat. 
This split will lead to misleading results as it tries to 
explaining the objective. 
Know your ML tool belt, practice makes perfect, and 
treat the job as science (tests, validation, parameter 
search, research, etc).
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Disclaimer: Value of ML? 
Let’s be Honest: 
ML can also lead to misleading results when used in the 
wrong hands: 
Running a Decision Tree on demographic data could 
likely split the population by M/F right off the bat. 
This split will lead to misleading results as it tries to 
explaining the objective. 
Know your ML tool belt, practice makes perfect, and 
treat the job as science (tests, validation, parameter 
search, research, etc). 
Answer: Use a Random Forest instead.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
ML is BI 
Example: The Retail Vertical 
BI reporting can be good for detecting aggregate trends 
but fails to personalize.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
ML is BI 
Example: The Retail Vertical 
BI reporting can be good for detecting aggregate trends 
but fails to personalize. 
Personalization can find aggregate trends and solve the 
question, 
“What are the 3 shoes you are highly likely to engage 
and ultimately purchase, given your (sparse) purchase 
history, time of year, demographic information, etc”
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Intermission 
We’ve stated use cases for ML 
Business will capitalize on including ML in their stack. 
Let’s move on to see how we see the meaning behind 
the data?
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Machine Learning in it’s Infancy
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Visualizing Inference 
To see the latent properties in your data, construct a Graph 
G as follows 
Form your data matrix M
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Visualizing Inference 
To see the latent properties in your data, construct a Graph 
G as follows 
Form your data matrix M 
Factor it using your favorite algorithm, M = WH
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Visualizing Inference 
To see the latent properties in your data, construct a Graph 
G as follows 
Form your data matrix M 
Factor it using your favorite algorithm, M = WH 
Cluster in W and Ht
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Visualizing Inference 
To see the latent properties in your data, construct a Graph 
G as follows 
Form your data matrix M 
Factor it using your favorite algorithm, M = WH 
Cluster in W and Ht 
Use the cluster assignments (or some similarity metric 
on factors) to make graph G.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
8tracks.com, the Best Music Service on Planet 
Earth
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
8tracks.com
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
8tracks.com
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
8tracks.com
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Boomtrain.com 
Boomtrain.com uses machine learning to inform decisions. 
Boomtrain offers an end to end solution using, in part, a real 
time novel view into the user base of a given company. By 
learning 
Users Proclivity to a set of Topics 
User Archetypes 
Users Derived Meta-Properties 
Boomtrain.com exposes this knowledge in an actionable 
framework, allowing clients to drive engagement and 
retention.
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Boomtrain.com
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Quid.com (Assessing metrics in Technology and 
Innovation) 
IdleGames.com (Behavior as Predictor of Demographic 
and Monetization) 
BeatsMusic.com (Contextualized Music 
Recommendation – Understanding the Heart of the 
Music)
Visualizing 
Inference 
Alex Morrise 
Outline 
Big Data 
meets 
Machine 
Learning 
Machine 
Learning Pros 
and Cons 
What is Business 
Value of ML? 
ML vs. BI 
ML disclaimer 
Personalization 
Visualizing 
Inference 
ML Infancy 
Cases Studies 
Summary 
Machine Learning is the Future 
We are just at the onset of a radical transformation in the 
way we do, and see, everything 
Every business is transforming into a technology 
company 
They all need intelligence powering their core offerings 
Finding better ways to see the meaning behind the data 
will drive each of those offerings.

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Visualizing inference

  • 1. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Visualizing Inference Seeing Meaning in the Age of Big Data Alex Morrise October 9, 2014
  • 2. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary 1 Big Data meets Machine Learning 2 Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization 3 Visualizing Inference ML Infancy Cases Studies 4 Summary
  • 3. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary “Machine Learning is the antidote to having to write down billions of business rules” Machine Learning Uses Include: User Personalization
  • 4. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary “Machine Learning is the antidote to having to write down billions of business rules” Machine Learning Uses Include: User Personalization Finding Predictors to a given Objective (Revenue, Churn, Volatility, Moods, Sentiment, Market Cap, Stocks, Biomedical, Risk Assessment, etc)
  • 5. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary “Machine Learning is the antidote to having to write down billions of business rules” Machine Learning Uses Include: User Personalization Finding Predictors to a given Objective (Revenue, Churn, Volatility, Moods, Sentiment, Market Cap, Stocks, Biomedical, Risk Assessment, etc) Fraud Detection (Purchases, Identity Thief, Health Insurance, Governments)
  • 6. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary “Machine Learning is the antidote to having to write down billions of business rules” Machine Learning Uses Include: User Personalization Finding Predictors to a given Objective (Revenue, Churn, Volatility, Moods, Sentiment, Market Cap, Stocks, Biomedical, Risk Assessment, etc) Fraud Detection (Purchases, Identity Thief, Health Insurance, Governments) Optimizing Decision Flows (Shipping, Markets, Robotics, Database Migrations, Team resource allocation and management, etc...)
  • 7. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary “Machine Learning is the antidote to having to write down billions of business rules” Machine Learning Uses Include: User Personalization Finding Predictors to a given Objective (Revenue, Churn, Volatility, Moods, Sentiment, Market Cap, Stocks, Biomedical, Risk Assessment, etc) Fraud Detection (Purchases, Identity Thief, Health Insurance, Governments) Optimizing Decision Flows (Shipping, Markets, Robotics, Database Migrations, Team resource allocation and management, etc...) Key Take Away Every Industry is Touched by Machine Learning
  • 8. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Companies are being inundated with data: User Behavioral Data/Click Stream (purchases, views, engagement, interests)
  • 9. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Companies are being inundated with data: User Behavioral Data/Click Stream (purchases, views, engagement, interests) Sensor Data (Internet of Things, smart meters, construction, management)
  • 10. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Companies are being inundated with data: User Behavioral Data/Click Stream (purchases, views, engagement, interests) Sensor Data (Internet of Things, smart meters, construction, management) B2B (SaaS management tools across all industries, Salesforce, etc)
  • 11. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Companies are being inundated with data: User Behavioral Data/Click Stream (purchases, views, engagement, interests) Sensor Data (Internet of Things, smart meters, construction, management) B2B (SaaS management tools across all industries, Salesforce, etc) B2C (Uber, Netflix, google)
  • 12. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Companies are being inundated with data. They all have one thing in common. They want a way to capitalize on the real meaning behind the data. Bayesian methods allow the discovery of the latent properties in data, while assessing our confidence in the models certainty/ignorance. Hypothesis testing, parameter estimation, confidence intervals, etc..
  • 13. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Why do businesses need Machine Learning/Data Science? They have plenty of data to train expert systems
  • 14. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Why do businesses need Machine Learning/Data Science? They have plenty of data to train expert systems Traditional BI may not be able to find the correct patterns
  • 15. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Why do businesses need Machine Learning/Data Science? They have plenty of data to train expert systems Traditional BI may not be able to find the correct patterns Shifting focus from traditional 20th century business objectives, companies need to convert their value propositions into technological currency.
  • 16. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business value of Machine Learning and Data Science? Why do businesses need Machine Learning/Data Science? They have plenty of data to train expert systems Traditional BI may not be able to find the correct patterns Shifting focus from traditional 20th century business objectives, companies need to convert their value propositions into technological currency. Users & Businesses are sophisticated and want intelligence in their applications
  • 17. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business Value of BI? Traditional BI tools and methods (Tableaux, Splunk, etc), are amazing, sophisticated and potentially misleading Example: Splitting demographic data into seemingly good piles and running aggregating reporting over those splits.
  • 18. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business Value of BI? Traditional BI tools and methods (Tableaux, Splunk, etc), are amazing, sophisticated and potentially misleading Example: Splitting demographic data into seemingly good piles and running aggregating reporting over those splits. Wonderful if you want to know what women ages 24-26 are purchasing in Los Angeles this month.
  • 19. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary What is the Business Value of BI? Traditional BI tools and methods (Tableaux, Splunk, etc), are amazing, sophisticated and potentially misleading Example: Splitting demographic data into seemingly good piles and running aggregating reporting over those splits. Wonderful if you want to know what women ages 24-26 are purchasing in Los Angeles this month. What about Behavior?
  • 20. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Businesses want Automatic Action Finding Behavior in a Automatic Actionable Way Finding Behavior requires leveraging the power of machine learning to tease out the meaning behind the observations in a crowd sourced way.
  • 21. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Businesses want Automatic Action Finding Behavior in a Automatic Actionable Way Finding Behavior requires leveraging the power of machine learning to tease out the meaning behind the observations in a crowd sourced way. Bayesian methods such as Factorizations, Hierarchical Clustering, and other Topic models, extract meaning from the data.
  • 22. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Businesses want Automatic Action Finding Behavior in a Automatic Actionable Way Finding Behavior requires leveraging the power of machine learning to tease out the meaning behind the observations in a crowd sourced way. Bayesian methods such as Factorizations, Hierarchical Clustering, and other Topic models, extract meaning from the data. Once model is fit, observations of Behavior connect to Actions in the system (API), yielding an automatic intelligent way to process information and transactions.
  • 23. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Disclaimer: Value of ML? Let’s be Honest: ML can also lead to misleading results when used in the wrong hands: Running a Decision Tree on demographic data could likely split the population by M/F right off the bat.
  • 24. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Disclaimer: Value of ML? Let’s be Honest: ML can also lead to misleading results when used in the wrong hands: Running a Decision Tree on demographic data could likely split the population by M/F right off the bat. This split will lead to misleading results as it tries to explaining the objective.
  • 25. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Disclaimer: Value of ML? Let’s be Honest: ML can also lead to misleading results when used in the wrong hands: Running a Decision Tree on demographic data could likely split the population by M/F right off the bat. This split will lead to misleading results as it tries to explaining the objective. Know your ML tool belt, practice makes perfect, and treat the job as science (tests, validation, parameter search, research, etc).
  • 26. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Disclaimer: Value of ML? Let’s be Honest: ML can also lead to misleading results when used in the wrong hands: Running a Decision Tree on demographic data could likely split the population by M/F right off the bat. This split will lead to misleading results as it tries to explaining the objective. Know your ML tool belt, practice makes perfect, and treat the job as science (tests, validation, parameter search, research, etc). Answer: Use a Random Forest instead.
  • 27. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary ML is BI Example: The Retail Vertical BI reporting can be good for detecting aggregate trends but fails to personalize.
  • 28. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary ML is BI Example: The Retail Vertical BI reporting can be good for detecting aggregate trends but fails to personalize. Personalization can find aggregate trends and solve the question, “What are the 3 shoes you are highly likely to engage and ultimately purchase, given your (sparse) purchase history, time of year, demographic information, etc”
  • 29. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Intermission We’ve stated use cases for ML Business will capitalize on including ML in their stack. Let’s move on to see how we see the meaning behind the data?
  • 30. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Machine Learning in it’s Infancy
  • 31. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Visualizing Inference To see the latent properties in your data, construct a Graph G as follows Form your data matrix M
  • 32. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Visualizing Inference To see the latent properties in your data, construct a Graph G as follows Form your data matrix M Factor it using your favorite algorithm, M = WH
  • 33. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Visualizing Inference To see the latent properties in your data, construct a Graph G as follows Form your data matrix M Factor it using your favorite algorithm, M = WH Cluster in W and Ht
  • 34. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Visualizing Inference To see the latent properties in your data, construct a Graph G as follows Form your data matrix M Factor it using your favorite algorithm, M = WH Cluster in W and Ht Use the cluster assignments (or some similarity metric on factors) to make graph G.
  • 35. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary 8tracks.com, the Best Music Service on Planet Earth
  • 36. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary 8tracks.com
  • 37. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary 8tracks.com
  • 38. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary 8tracks.com
  • 39. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Boomtrain.com Boomtrain.com uses machine learning to inform decisions. Boomtrain offers an end to end solution using, in part, a real time novel view into the user base of a given company. By learning Users Proclivity to a set of Topics User Archetypes Users Derived Meta-Properties Boomtrain.com exposes this knowledge in an actionable framework, allowing clients to drive engagement and retention.
  • 40. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Boomtrain.com
  • 41. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Quid.com (Assessing metrics in Technology and Innovation) IdleGames.com (Behavior as Predictor of Demographic and Monetization) BeatsMusic.com (Contextualized Music Recommendation – Understanding the Heart of the Music)
  • 42. Visualizing Inference Alex Morrise Outline Big Data meets Machine Learning Machine Learning Pros and Cons What is Business Value of ML? ML vs. BI ML disclaimer Personalization Visualizing Inference ML Infancy Cases Studies Summary Machine Learning is the Future We are just at the onset of a radical transformation in the way we do, and see, everything Every business is transforming into a technology company They all need intelligence powering their core offerings Finding better ways to see the meaning behind the data will drive each of those offerings.