Please enable JavaScript.
Coggle requires JavaScript to display documents.
Chapter 14: Conclusion (Ethics of Individuals (what is privacy? (should…
Chapter 14: Conclusion
Fundamental Concepts
General Concepts
Attract
Structure
nurture
General Thinking
data mining
remember the problem
its an asset
expected value framework
generalization and overfitting
different types of problems
Actual Extraction
alternative attributes
fitting numeric functions
controlling complexity
calculating similarity
Application
find customers similarities
nearest neighborhoods
whats picking up
Mining Mobile Device Data
people are on mobile
How to get to them?
mobile devices
Data and location
new problem?
Use conceptual tool kit
"bag of locations"
Changing How We Think About Solutions
What is the problem?
subtle change
try noticing
cost of fp
< gaining TP
Where human knowledge helps
selecting right data
comps can't do this
evaluation
choosing models
"data is colored by our own beliefs"
what data is
the interpretation we have
which data science?
adds value
judgement
more experienced = better
Ethics of Individuals
Data is collected on everyone
Whats too much?
used for business decisions
better business decisions
require
increased personal data
reduced privacy
means more effective marketing
what is privacy?
how far should it go?
should care
but how much
Is there more to it?
data
is an asset
candidate for investment