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gazza89

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49 Answers

Votes Activity Newest

7

Loss function and evaluation metric

Nov 28 '18 at 19:55

7

Is it important to make a feature scaling before using Gaussian Mixture Model?

Oct 11 '18 at 12:52

5

100% accuracy on training, high accuracy on testing as well. What does this mean?

Jul 23 '19 at 20:54

5

Why is cross entropy not a common evaluation metric for model performance?

Oct 11 '18 at 13:17

5

Showing that ridge regression is a solution to the following optimization problem

Sep 18 '18 at 19:38

4

How is that likelihood is fixed by the model

Oct 1 '19 at 19:01

3

If $A, B$ are conditionally independent by $C$ prove that $P(A|B,C) = P(A|C)$

Oct 5 '18 at 14:15

2

How can I prove that one column of dataset has more effect on result than other

Oct 5 '20 at 10:16

2

Loss function in for gamma objective function in regression in XGBoost?

Aug 25 '20 at 13:02

2

is logistic regression stochastic like neural network?

Aug 26 '20 at 13:24

2

Derive a particular expression for binomial deviance from Elements of Statistical Learning

Apr 13 '18 at 12:59

2

Predict multiple outcome vectors at once (no multinomial or multiclass)

Oct 23 '18 at 17:51

2

Distribution of *conditional* frequencies when frequencies follow a Dirichlet distribution

Oct 17 '18 at 19:37

2

Reasons not to one-hot-encode categorical features

Oct 10 '18 at 13:22

2

Does the presence of the outliers affect the 1NN algorithm?

Sep 28 '18 at 11:11

2

Practical limits to collinearity problems?

Sep 27 '18 at 19:43

1

Calculating Probability based on Linear Regression in R or Excel

Oct 30 '20 at 14:18

1

Posterior beta distribution and probability of point

Aug 26 '20 at 8:28

1

Bernoulli Naive Bayes with Unbalanced Classes of Binary Features

Feb 2 '20 at 15:17

1

Residual sum of squares in a regression

Oct 3 '19 at 10:37

1

How to use log probabilities in PCA mixture EM algorithm

Jan 9 '19 at 18:45

1

If $X_1,\cdots,X_n \sim \mathcal{N}(\mu, 1)$ are IID, then compute $\mathbb{E}\left( X_1 \mid T \right)$, where $T = \sum_i X_i$

Nov 2 '18 at 13:31

1

Weakened version of k-means

Oct 16 '18 at 12:38

1

How to draw one standard deviation range around the mean of a skewed distribution

Oct 11 '18 at 18:56

1

The ways to normalize the likelihood in EM algorithm

Oct 5 '18 at 14:06

1

Appropriate clustering algorithm with mixed data types

Sep 25 '18 at 22:15

1

focusing on hard examples in neural networks, like in gradient boosting?

Sep 28 '18 at 16:59

1

Clarification regarding theoretical mean and variance

Sep 28 '18 at 13:06

1

Random Forests interpretability

Sep 25 '18 at 22:23

1

Using datapoint multiple times in error

Sep 19 '18 at 15:43

1

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