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kennysong
  • Member for 6 years, 3 months
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30 votes
4 answers
5k views

Why should I be Bayesian when my dataset is large?

26 votes
2 answers
4k views

Why do we model noise in linear regression but not logistic regression?

9 votes
4 answers
735 views

Loss functions in statistical decision theory vs. machine learning?

8 votes
3 answers
3k views

Neuron saturation occurs only in last layer or all layers?

6 votes
1 answer
338 views

Is a sample i.i.d or is a collection of random variables i.i.d.?

3 votes
3 answers
3k views

Does zero training error mean zero bias?

3 votes
1 answer
2k views

What is the difference between bias and inductive bias?

2 votes
1 answer
90 views

Is logistic regression called "logistic" because it uses the logistic loss or the logistic function?

2 votes
1 answer
54 views

Is it better to do per-class anomaly detection on P(x, y) or P(x | y)?

1 vote
1 answer
73 views

What is the relationship between embeddings and deep metric learning?

1 vote
1 answer
150 views

Does a non-parametric model necessarily have zero bias?

1 vote
2 answers
2k views

Learning curve vs training (loss) curve?

0 votes
1 answer
125 views

Why do we only look at the sample from MCMC? (And ignore the sample points' posterior probabilities?) [duplicate]

0 votes
0 answers
22 views

Can we directly use the likelihood function for Bayesian inference? [duplicate]

0 votes
0 answers
190 views

Using LIME without intercept term?