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chang_trenton
  • Member for 4 years, 10 months
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Profile Activity

63 Answers

Score Activity Newest
13 votes
Accepted

Sklearn Average_Precision_Score vs. AUC

8 votes
Accepted

How to know when two random variables are independent?

6 votes

Generating text from language model

4 votes
Accepted

Interpretation of covariance term in loss function

4 votes
Accepted

What are the impacts of different learning rates on this model and why does it keep overfitting?

4 votes
Accepted

Logic of Sklearn Bernoulli Naive Bayes Classifier when the the predictors are not even binary?

4 votes

meaning of drop in OneHotEncoder

4 votes
Accepted

Mathematics of Random Forest Classifier

3 votes

How to evaluate the impact of an intervention with no control group?

3 votes
Accepted

Derivation of closed-form ROC expression under binormal assumptions

3 votes

Equivalence of Inverse Probability of Treatment Weights and Standardization: Hernan and Robins proof

3 votes
Accepted

Recommend similar users (instead of items) with collaborative filtering

3 votes

Variable selection with a theoretical DAG vs algorithmically discovered DAG

2 votes
Accepted

Do regularization models split my data up automatically?

2 votes
Accepted

Is k-means a generative model and how could it be used to generate new data then?

2 votes

differential-privacy: show $\epsilon$ -differentially privacy

2 votes
Accepted

A question about do calculus

2 votes

Scikitlearn: Why are hyperplane coefficients not available if kernel is not linear

2 votes
Accepted

Is convergence in probability implied by consistency of an estimator?

2 votes
Accepted

How to use BinaryCrossEntropy (intutively) for Generator Network in DCGAN model?

2 votes

For prediction problems, why cant we simply use softmax as activation for hidden layers and no activation function for output layer

2 votes
Accepted

AdaBoost assumption of weak classifier

2 votes
Accepted

How to handle hyperparameter tuning, cross-validation and the train/val/test split?

2 votes

What are the probabilities in the embedding layer of a Word2Vec?

2 votes
Accepted

How to implement Batch Norm to Deep learning Neural Networks?

2 votes

Do non-linear Support Vector Machines need data to be scaled with zero mean and unit std?

1 vote

Why do earlier hidden layers learn slower?

1 vote

Choosing activation and loss functions in autoencoder

1 vote
Accepted

How to calculate backpropagation derivatives for 2 hidden layers?

1 vote

Understanding Deep Neural Network for Youtube Recommendation Paper

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