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bibliolytic
  • Member for 8 years, 4 months
  • Last seen more than 4 years ago
9 votes

Why should we shuffle data while training a neural network?

4 votes

Biased Data in Machine Learning

4 votes

Standardization for Regularized Regression

4 votes

Should we remove duplicates when training a SVM?

4 votes

Why PCA needs to consider **perpendicular** distance and cater for maximal variance?

3 votes

Better performance using Random Forest one-Vs-All than Random Forest multiclass?

3 votes

Dropout effectiveness on small neural networks

2 votes

Finding Theft in Tender Sales

2 votes

PCA with anomaly detection

1 vote

Supervised Approach for Longitudinal Data

1 vote
Accepted

How to perform L2 Normalization for machine learning

1 vote
Accepted

Choosing neural network architeture and how to know if it is overfitting

1 vote

Implementing a CNN using tensorflow

1 vote

One-class SVM: "training set vs. origin" logic

1 vote

Comparing shapes of distribution

1 vote

Using PCA to perform feature selection when variability and correlation are the only selection critera?

1 vote

Training LeNet on MNIST with frozen layers

1 vote

Mapping one feature space to another for prediction purposes?

1 vote

Why does the R2 value of regression improve on retraining neural network

0 votes

Best way to train one-class SVM

0 votes

How can I approximate the accurate sensor readings given readings from noisy sensors?

0 votes
Accepted

Adding feautre by polynomial expansion drastically decreases the training set accuracy

0 votes

Classification using linear regression

0 votes

Time series and images : difference and terminology