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Haitao Du
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522 Answers

Votes Activity Newest
54
Why is 600 out of 1000 more convincing than 6 out of 10?
Jul 28 '17 at 18:10
52
Regularization methods for logistic regression
Aug 8 '16 at 13:33
36
Is there any intuitive explanation of why logistic regression will not work for perfect separation case? And why adding regularization will fix it?
Oct 13 '16 at 3:30
29
How could stochastic gradient descent save time comparing to standard gradient descent?
Aug 27 '16 at 15:38
28
Is an overfitted model necessarily useless?
May 11 '17 at 14:51
26
Is low bias in a sample a synonym for high variance?
Feb 9 '18 at 15:15
26
Do all machine learning algorithms separate data linearly?
Jun 1 '16 at 14:56
24
Boosting: why is the learning rate called a regularization parameter?
Apr 27 '16 at 20:57
22
Cohen's kappa in plain English
Mar 20 '17 at 15:06
22
Why use gradient descent for linear regression, when a closed-form math solution is available?
May 10 '17 at 18:48
22
Why does feature engineering work ?
Dec 28 '17 at 18:01
22
How does linear base learner works in boosting? And how does it works in the xgboost library?
Aug 25 '16 at 13:52
21
Binary classification with strongly unbalanced classes
Sep 19 '16 at 18:55
20
How to decide between PCA and logistic regression?
Nov 7 '16 at 15:37
19
What makes a classifier misclassify data?
May 23 '17 at 20:08
18
what makes neural networks a nonlinear classification model?
Jul 7 '16 at 18:50
15
How do R and Python complement each other in data science?
Oct 6 '16 at 14:53
14
How to know if a learning curve from SVM model suffers from bias or variance?
Jun 27 '16 at 13:32
13
Why study convex optimization for theoretical machine learning?
Jan 25 '18 at 19:40
13
To maximize the chance of correctly guessing the result of a coin flip, should I always choose the most probable outcome?
May 17 '16 at 13:53
12
If I want an interpretable model, are there methods other than Linear Regression?
Sep 12 '19 at 5:20
12
Error increase on L2 regularization in an NN
Jan 31 '18 at 17:31
11
What I should do if no distribution fits my dataset?
Apr 22 at 16:49
11
Avoid overfitting in regression: alternatives to regularization
Jul 19 '17 at 13:32
11
What does it mean for a linear regression to be statistically significant but has very low r squared?
Apr 12 '17 at 20:53
11
What is the equivalent in R of scikit-learn's `LogisticRegression` with `penalty=“l2”`
Oct 11 '16 at 2:01
11
What are the four axes on PCA biplot?
Jun 14 '16 at 14:48
10
How to run linear regression in a parallel/distributed way for big data setting?
Feb 22 '17 at 15:36
10
Bayes' Theorem Intuition
Oct 7 '16 at 19:08
10
what does one mean by numerical integration is too expensive?
Oct 25 '16 at 14:14
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