Gaussian Processes: Weight-Space and Function-Space Views
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Adapted from an appendix of my MS thesis. Gaussian Process The problem of machine learning (ML) is induction: We need to move from a finite training data D to a function f that makes predictions for all possible input values. A common method is to restrict the class of functions considered, for example only considering linear functions of the input. Another common method is to give a prior probability to all possible functions, where higher probabilities are given to functions that we consider…
1Key Takeaways
- Adapted from an appendix of my MS thesis.
- Gaussian Process The problem of machine learning (ML) is induction: We need to move from a finite training data D to a function f that makes predictions for all possible input values.
- A common method is to restrict the class of functions considered, for example only considering linear functions of the input.
- Another common method is to give a prior probability to all possible functions, where higher probabilities are given to functions that we consider….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that adapted from an appendix of my MS thesis.
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