Comments (1)
Great idea. Do you want to take a crack at it? I'll leave this open as a feature request anyway for someone to tackle.
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Related Issues (20)
- Multinomial and Binomial in glossary
- Example for epsilon incorrect?
- Cross Product vs Element by Element Multiplication HOT 2
- Logistic Regression classify function: local variable 'decision_boundary' referenced before assignment
- Updating the glossary of activation functions HOT 3
- Adding Vietnamese Translation HOT 2
- Cost function in backpropogation section is confusing and possibly incorrect. HOT 1
- Linear regression bias clarification HOT 3
- Derivative Rules and Integration formulas in Calculus Cheatsheet HOT 2
- Explanation of NN weight initialization
- Chain rule formula needs to be corrected.
- Cannot download the data for logistic regression HOT 1
- corss entopy loss is different from hinge loss HOT 1
- Optimizers should be in reverse order HOT 1
- The cost function code return opposite sign HOT 5
- The dot product example is wrong HOT 1
- minor error in "Multivariable regression - Normalization"
- Ambigous "both types of errors" in log loss explanation
- Change of URL of dataset at page https://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html HOT 1
- Zh shape HOT 1
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