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SmallChess's user avatar
SmallChess's user avatar
SmallChess's user avatar
SmallChess
  • Member for 9 years, 1 month
  • Last seen more than a month ago
67 votes
Accepted

When is precision more important over recall?

12 votes

Would you recommend feature normalization when using boosting trees?

11 votes
Accepted

Understanding Locally Weighted Linear Regression

11 votes
Accepted

Interpreting the Root Mean Squared Error (RMSE)!

10 votes

Why do we use a Gaussian kernel as a similarity metric?

10 votes

How does deep learning helps in detecting multiple objects in single image?

9 votes

Counting the number of layers in a neural network

9 votes
Accepted

Predicting probability from scikit-learn SVC decision_function with decision_function_shape='ovo'

8 votes

Why do convolutional neural networks work?

8 votes

Difference between AlphaGo's policy network and value network

7 votes
Accepted

What does Negative Log Likelihood mean?

7 votes

Do neural networks have explainability like decision trees do?

7 votes

Share Jupyter Notebook with a non programmer

6 votes

How big is big data?

5 votes

Should I use GPU or CPU for inference?

5 votes

Increase number of iterations in a logistic regression

4 votes
Accepted

Is there an R package for Locally Interpretable Model Agnostic Explanations?

4 votes

Strategy for dealing with giant sample size

4 votes
Accepted

Does bias have multiple meanings in Data Science?

4 votes

Why we prefer VIF if we can find multicollinearity from correlation matrix as well?

4 votes
Accepted

Random Forest Classifier gives very high accuracy on test set - overfitting?

4 votes

implementing temporal difference in chess

4 votes

transition to data scientist for more money

3 votes

How big should training data be?

3 votes

Seeking Career guidance

3 votes

Why Logistic regression into Spark Mllib does not use Maximum likelihood estimation?

3 votes
Accepted

How do multiple linear neurons together allow for nonlinearity in a neural network?

3 votes
Accepted

The Why Behind Sum of Squared Errors in a Linear Regression

3 votes
Accepted

Should weights on earlier layers change less than weights on later layers in a neural network

2 votes

Dimensionality reduction with PCA limitations