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CH 14. Conclusion (Fundamental Concepts (Analytical Thinking (Keep use…
CH 14. Conclusion
Fundamental Concepts
Combination of
Analytical Engineering
Exploration
Decomposing a complex task
Analytical Thinking
Keep use scenario in mind
Data is an asset
Expected Value
Avoid overgeneralization, overfitting
Structured vs Exploratory
Extracting Knowledge
Identify Informative attributes
Fit a model to data
control complexity
calculate similarity
classification
regression
nearest neighbor
clustering
unsupervised grouping
Limits of Data
Humans + Data Integration
human creativity adds value
Data incorporates human biases
Identifying leakage
Where Humans Surpass Data
Identifying relevant data
Evaluating Data performance
Evaluate data origin
Lack of Value Add
low quantity of data
unique context
people don't always know what they want
Changing Thinking
What is the problem?
Should be able to answer problem
feasability
Privacy and Ethics
Privacy vs Business Objectives
Less Privacy = Better BO
difficult to understand
too complex for easy answers
anonymity in data?
New Mothods
Cloud-Sourcing
Cloud Labor
gather training data
issue of data quality
micro-outsourcing