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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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Regression equation for ordinal data
I'm doing research where a part of the collected data is of Ordinal type. I will implement ANN with Logistic Regression function in the Activation function. What I have learnt from documents of other …
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How does Sigmoid activation work in multi-class classification problems
@bharath chandra A Softmax function will never give 3 as output. It will always output real values between 0 and 1. A Sigmoid function also gives output between 0 and 1. The difference is that in the …
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Why my network needs so many epochs to learn?
The above answer is quite self explanatory. One small thing I would like to add that too many epochs may lead to overfitting. The model will keep learning as many epochs we may allow. So there must be …