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What IS Data Science?

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by

Nicholas Kolegraff

on 23 May 2015

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Transcript of What IS Data Science?

What IS Data Science?
Making things in our world more intelligent
Data
Decisions
Structured
Unstructured
Transactional
Text
Social
Sensor
Signal
Conscious
Instinctive
What IS A Data Scientist?
Who Are You?
Founder Data Science Linux
Lead Data Scientist, Accenture
Statistics BS
Computer Science BA
Designed hardware devices for voice controlled medical beds
Casino game hacking -- Poker Variants
Generative Modeling
Cognitive Science and Human Behavior
Flexibility

Freedom
Storytelling

Scale
Phones, we can talk to them
Recommendation Engines
Touch Screens
Isn't this just Analytics?
News Feeds
Gesture Recognition
They sort-a-kinda know what we want, but not really, yet kinda creepy
Key Distinction:
A system in data science generally has action awareness (it gets notifications) and on-the-fly updates
Data Design and Manipulation
Engineering
Machine Learning / Statistics
Cognitive Science
Skills:
What is their distinction?
Technology Agnostic
Deploy models anywhere
from a database to a washing machine
End to End Systems with fluid pipelines
Batch, Near-Realtime, Realtime
122
No assumptions, truly data driven model development
Rather than assumption based
Product Mentality
vs. Project Mentality
Where do you put them?
Not IT. Aligned with Business Strategy.
After all: Business uses data to make Business Decisions

Concise
Pragmatic
Intuitive Visualizations
Big data isn't just measured in diskspace
1 billion edges in a graph is small on disk, big on cpu
Awareness-ish
Why?
Better Decisions
Not Just Database
Data Types
Data Speed
Data Size
Millisecond,
Minutes,
Days
Not Just Infrastructure Needs to Support These, Models Do Too
Not a Replacement -- An Augmentation
Think special forces.
everyone needs those, but do you fight the war with them?
Questions?
@nickkolegraff
vs. Analytics?
Approaches to Solving Problems
Last thing you want is a telephone problem, communication is key.
But, How do we know?
Critical for Business Leaders
Or How do we get BETTER?
Data Repetition
(think practice/athletics)
Executing Strategic Tactical Missions
Toolset Agnostic
Not Really.
More like ...

What are you talking about?
1. Approaches to Problem Solving
2. Data Science vs. Analytics?
3. What IS and WHY Data Science
Do you assume nothing and account for everything? When variables have a complex relationships
Temperature = Hot | Cold | Warm
Wear = Shorts | Coat | Pants
OR do you target specifically and adjust accordingly?
When variable relationship is better understood.
Being = Mother | Girlfriend | Grandmother | Dog
Action = Kiss | Call | Hug | Play
We need both and use both
So Really,

Dunno, it's the problem not the semantics
Data Science + Analytics
Businesses
Unlimited..
Twitter: @nickkolegraff
Github: @koooee
Full transcript