Recent questions tagged machine-learning

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1 1 answer
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How do you determine the weight values that connect to the other data points when solving for our output in neural networks?
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1 answers 1 answer
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The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the opti...
2 2 votes
1 answers 1 answer
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13.3k views
The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the opti...
2 2 votes
1 1 answer
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591 views
2 2 votes
1 1 answer
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Regarding the datacamp tutorial "Python Machine Learning: Scikit-Learn Tutorial", the author is considering the use cases that are relevant to the digits data set, so she...
1 1 vote
1 1 answer
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866 views
1 1 vote
1 answers 1 answer
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Both of the batch size and number of epochs are integer values and seem to do the same thing in Stochastic gradient descent. What are these two hyper-parameters of this l...
1 1 vote
1 1 answer
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917 views
PCAhttps://www.youtube.com/watch?v=FgakZw6K1QQK-Meanshttps://www.youtube.com/watch?v=4b5d3muPQmA&index=10&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF&t=0s
3 3 votes
1 1 answer
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808 views
I am wondering what is the difference between normalization and feature scaling and usually when working on a machine learning project what comes normalization or feature...
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1 1 answer
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3 3 votes
1 1 answer
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978 views
I am wondering why should we use machine learning instead of deep learning. We know that deep learning is very powerful. Anything which machine learning algorithm can do ...