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linear regression via maximum likelihood and some simple assumptions about the system. |
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Assumptions
- Independence : the data points are independent
- No knowledge about the weights : we assume no prior belief about the weights (the training data will dictate).
- Uniform uncertainty : each data point has the same uncertainty (i.e.
), again no prior belief about this.Mathinline body \sigma
...