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Sean Easter

Washington, DC

Front-end by day; data science by night.

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46
Variational inference versus MCMC: when to choose one over the other?
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45
What does PAC learning theory mean?
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23
What do/did you do to remember Bayes' rule?
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17
How to update an svg path with d3.js
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16
How are weights updated in the batch learning method in neural networks?
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16
When should linear regression be called "machine learning"?
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13
Using topic words generated by LDA to represent a document
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13
Why are all Lasso coefficients in model 0.0?
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12
What does a 'tractable' distribution mean?
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11
What should an uninformative prior be for the slope when doing linear regression?
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10
How do I insert variable step into Numpy mgrid?
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10
R: multiple linear regression model and prediction model
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9
How is the poisson distribution a distribution? It seems more like a formula
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9
Which probability distributions are not exchangeable?
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9
Use of prior and posterior predictive distributions?
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8
Books for learning non parametric Bayesian model
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8
In Bayesian linear regression, why do we assume parameter prior has zero mean?
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8
Reliability of Mode from an MCMC sample
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7
Advice on sensitivity analysis for priors in Bayesian statistics
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7
For a model like this what performance measures can I calculate and how?
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7
What's a good way of graphically representing a very large number of paired datapoints?
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7
Reinforcement learning with subgoals
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7
Formulation of states for this RL problem and other questions.
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7
Cross validation Deep learning
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7
Do boosting techniques use voting like any other ensemble method?
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6
How to use scikit's preprocessing/normalization along with cross validation?
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6
Question on Exponential Distribution
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6
Out of 84 chances in a week, I want about 3 to be TRUE
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6
Bayesian logit model - intuitive explanation?
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6
Can improper priors be implemented in some way?
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