User Rahul Deora

10 votes

13 answers

6k views

If 'B is more likely given A', then 'A is more likely given B'

asked Apr 14, 2019 at 6:54

5 votes

1 answer

957 views

Gauss Original Paper

normal-distribution maximum-likelihood references least-squares history

asked Feb 11, 2019 at 18:13

4 votes

1 answer

210 views

Intriguing properties of neural networks

machine-learning neural-networks linear

asked Oct 12, 2018 at 16:56

3 votes

2 answers

521 views

Intuitive explanation from regression coefficient estimate formula

regression probability mathematical-statistics least-squares

asked Oct 6, 2018 at 10:06

2 votes

1 answer

89 views

Residual learning approach + manifold

machine-learning neural-networks conv-neural-network manifold-learning

asked Oct 21, 2018 at 18:47

2 votes

1 answer

96 views

What happends if we standarise with a slightly shifted mean?

machine-learning mathematical-statistics deep-learning least-squares

asked Feb 12, 2019 at 17:38

1 vote

1 answer

52 views

Why does different factorisation matter in Markov networks?

machine-learning bayesian hidden-markov-model graphical-model

asked Feb 19, 2019 at 7:35

1 vote

1 answer

547 views

Autoencoders linear latent space

machine-learning neural-networks

asked Sep 4, 2019 at 19:03

1 vote

1 answer

191 views

How do autoencoders reconstruct images/color?

machine-learning neural-networks

asked Sep 4, 2019 at 19:10

1 vote

0 answers

64 views

Secret Life of Covariance Matrix

machine-learning pca multivariate-analysis

asked Sep 6, 2019 at 16:11

1 vote

1 answer

456 views

Clarity on Covariance Matrix and it's relation to length

machine-learning mathematical-statistics pca covariance covariance-matrix

asked Jan 8, 2020 at 6:15

1 vote

1 answer

164 views

Inverse covariance matrix in the Multivariate guassian

probability distributions mathematical-statistics normal-distribution

asked May 8, 2020 at 14:52

1 vote

0 answers

25 views

Segmentation Visualisation DNN

machine-learning neural-networks deep-learning optimization computer-vision

asked Oct 27, 2018 at 4:25

1 vote

1 answer

58 views

Ian Goodfellow: Input/Parameter linearity in DNNs

machine-learning deep-learning

asked Sep 28, 2018 at 18:05

1 vote

0 answers

31 views

Neural Networks Mappings( Topology)

machine-learning neural-networks separation

asked Oct 31, 2018 at 16:32

1 vote

1 answer

308 views

BLUE estimators

regression machine-learning generalized-linear-model

asked Nov 7, 2018 at 17:47

1 vote

0 answers

10 views

Scene annotation

deep-learning computer-vision

asked Nov 7, 2018 at 19:13

1 vote

0 answers

86 views

Mysteries of the Normal Distribution [duplicate]

machine-learning mathematical-statistics normal-distribution references

asked May 6, 2019 at 17:08

1 vote

0 answers

162 views

Partial Collinearity in Regression

regression machine-learning multiple-regression generalized-linear-model

asked May 17, 2019 at 17:44

1 vote

0 answers

146 views

Advantage of inputs/targets to be normally distributed?

machine-learning neural-networks normality-assumption

asked May 29, 2019 at 17:00

1 vote

0 answers

72 views

Gauss's Original Gaussian Distribution Proof Help

probability distributions mathematical-statistics normal-distribution

asked Jun 6, 2019 at 4:55

1 vote

1 answer

628 views

AUC ROC Threshold Setting in heavy imbalance [duplicate]

machine-learning auc

asked Jul 7, 2019 at 9:10

0 votes

0 answers

36 views

Variance of Guassian Products [duplicate]

machine-learning mathematical-statistics normal-distribution

asked Aug 6, 2019 at 19:03

0 votes

1 answer

44 views

Keras Classification Training [duplicate]

machine-learning neural-networks deep-learning keras

asked Oct 29, 2018 at 17:53

-1 votes

1 answer

48 views

Why is correlation here not 1

regression

asked May 18, 2019 at 7:19

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25 Questions

If 'B is more likely given A', then 'A is more likely given B'

Gauss Original Paper

Intriguing properties of neural networks

Intuitive explanation from regression coefficient estimate formula

Residual learning approach + manifold

What happends if we standarise with a slightly shifted mean?

Why does different factorisation matter in Markov networks?

Autoencoders linear latent space

How do autoencoders reconstruct images/color?

Secret Life of Covariance Matrix

Clarity on Covariance Matrix and it's relation to length

Inverse covariance matrix in the Multivariate guassian

Segmentation Visualisation DNN

Ian Goodfellow: Input/Parameter linearity in DNNs

Neural Networks Mappings( Topology)

BLUE estimators

Scene annotation

Mysteries of the Normal Distribution [duplicate]

Partial Collinearity in Regression

Advantage of inputs/targets to be normally distributed?

Gauss's Original Gaussian Distribution Proof Help

AUC ROC Threshold Setting in heavy imbalance [duplicate]

Variance of Guassian Products [duplicate]

Keras Classification Training [duplicate]

Why is correlation here not 1