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Chapter 14: Conclusion (Humans (Better at Identifying, judicious…
Chapter 14: Conclusion
Fundamental concepts of Data science
General concepts of fitting organization and competitive landscape
attract structure
Nurture teams
Leading to competitive advantage
sustainability
tactical principles
General ways of thinking analytically
Data mining process
High level data science tasks
Remember problem to be solved
Data is an asset
Expected value framework
expected value framework
Generalization & Overfitting
Structured Vs. Different stages
General Knowledge on Extracting
Identifying information attributes
Fitting Numeric function model
controlling complexity
calculating simularity
Applying Fundamentals
Changing devices
New forms of data being created
Locate relationship between problem and data
Business Problem Solutions
Identify the problem
Change to fit capabilities of data
Not all stakeholders accounted for in data
Humans
Better at Identifying
judicious integration of human knowledge
Critical in evaluation stage
"Understanding of data"
Privacy, Ethics, and Mining Data about individuals
Direct relationship between personal data and effectiveness of business decisions
More detailed the data the more accurate the solution
Data can be seen as disrupting privacy