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Prediction from data
1. Prediction from data
A common data science problem is to make a prediction from data.
2. Data
Starting point: raw data sources
Ending point: data with which to make decision (using various techniques)
How to get from starting point to ending point: Work backwards from the ending point (top-down backward-chaining reasoning)
3. Data types
Two basic types of data:
raw data (independent variables)
derived data (dependent variables)
4. Data diagram
The raw data sources can be:
Internet data (government, etc.)
Company data (commercial, academic, etc.)
Spreadsheet data
... and so on ...
Each data source may need it's own (Python) program to pull in the data into the decision support database.
5. Learning
There are two basic ways of learning in a machine learning methodology/algorithm.
supervised learning
unsupervised learning
