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Results tagged with intuition
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user 260797
Questions that seek a conceptual or non-mathematical understanding of statistics.
-4
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Intuitive explanation on "Generalization " [closed]
I recently worked on Generalization of Gradients.
If I'm asked to find Generalization of Gradients or for Dirichlet distribution, etc. I'll do it correctly like a machine. But I didn't understand it. …
- 3,005
2
votes
2
answers
301
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What is an intuitive way for choosing the right Statistical test?
In my Statistics class, we just talked about Statistical tests. So far I’ve been understanding the material, okay, but now I’m very confused.
I get that Statistical tests are used in hypothesis test …
0
votes
0
answers
100
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What is a generalized linear model [duplicate]
Generalized linear models have become so central to effective statistical data analysis, however, that it is worth the additional effort required to acquire a basic understanding of the subject.
I am …
- 3,005
24
votes
3
answers
4k
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Intuition behind Box-Cox transform
I am really having trouble understanding the intuition behind Box-Cox transform. I mean how to configure data transform method for both square root and log transform and estimating lambda. … Could anyone explain in simple words (and maybe with an example) what the intuition behind Box-Cox transform is? …
- 3,005
4
votes
1
answer
296
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Understanding "Kalman Filter" intuitively
What is the cleanest, easiest way to explain to someone the concept of "Kalman Filter"?
What does it intuitively mean?
It's a concept that I have difficulty articulating – especially when explaining t …
- 3,005
2
votes
3
answers
342
views
Intuitive Explanation of "AutoEncoders"
I'm looking for intuition in words but also some simple insight into mathematical calculations (I don't know if the latter is possible). Can anybody shed some light on the "AutoEncoders"? …
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5
votes
1
answer
4k
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Intuitive explanation of Friedman's H-statistic
What is the cleanest, easiest way to explain someone, a non-STEM person the concept of Friedman's H-statistic? What does it intuitively mean?
While exploring feature interaction I went through Friedma …
- 3,005
35
votes
8
answers
3k
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Intuitive explanation of "Statistical Inference"
What is the cleanest, easiest way to explain someone the concept of Inference? What does it intuitively mean?
How would you go to explain it to the layperson, or to a person who has studied a very bas …
- 3,005
3
votes
1
answer
473
views
Pruning in Decision Trees?
Pruning is a technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances.
I know what i …
- 3,005
2
votes
0
answers
470
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Hannan–Quinn information criterion and Kashyap information criterion (KIC)
I am really having trouble understanding the intuition behind KIC. I mean how KIC is using Fisher information matrix and how these methods are used for Model Selection …
- 3,005
3
votes
1
answer
3k
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What is MCRMSE (mean columnwise root mean squared error)?
The MCRMSE evaluation metric was used in the Kaggle Competitions Africa Soil Property Prediction Challenge(6 years ago) and
OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction(On-going) competit …
- 3,005
2
votes
0
answers
163
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How to explain a Box Plot? [duplicate]
Assuming that I'm able to augment their knowledge about boxplot I can give the below insights for box plot
First Quartile(Q1)
Second Quartile(Q2)
Third Quartile(Q3)
Inter Quartile Range(IQR) = Q3-Q1
…
- 3,005
2
votes
1
answer
178
views
Intuitive explanation of "invariance"
...assuming that I'm able to augment their knowledge about variance in an intuitive fashion Understanding "variance" intuitively and about covariance How would you explain covariance to someone who un …
- 3,005
5
votes
1
answer
2k
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How does Random Forest split?
Random forests or random decision forests are an ensemble learning method for classification, regression, and other tasks that operate by constructing a multitude of decision trees at training time an …
- 3,005
4
votes
1
answer
3k
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What is meant by divergence in statistics?
I have learned about the Intuition on the Kullback-Leibler (KL) Divergence as how much a model distribution function differs from the theoretical/true distribution of the data. …
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