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I'm very new to machine learning. I am doing a project for a subject called parallel and distributed computing, in which we have to speed up a heavy computation using...
Asked on 06/07/2021 by ptushev
1 answerNewbie to analytics with Python so please be gentle :-) I couldn't find the answer to this question - apologies if it is already answered elsewhere in a different format....
Asked on 06/07/2021 by new_analyst
3 answerIf I want to construct a word embedding by predicting a target word given context words, is it better to remove stop words or keep them?the quick brown fox jumped...
Asked on 06/07/2021
2 answerI have a dataset with size ~ 500k...
Asked on 06/07/2021
0 answerTo implement my Binary CNN in keras, I had a dataset of ~~35000 images but only 700 is from one class and all the others are from the other class,...
Asked on 06/06/2021 by jed1
0 answerI am wondering what's the best way to handle outliers when using non-supervised clustering algorithms?...
Asked on 06/06/2021
2 answerI'm dealing with a binary classification problem with a balanced data set, however false positives are much more costly than false negatives. Let's just say that an FP is in...
Asked on 06/06/2021
1 answerI am currently working on a decision tree for predicting the average of a binary outcome with a small number of categorical features (think predicting the survival rate in the...
Asked on 06/06/2021
0 answerI want to randomly create a table of data that has a predefined p-Value and chi-Value of a chi-square distribution. For example this would have a p-Value of 1 on...
Asked on 06/06/2021 by Cowboy_Patrick
0 answerLast few months, I had been exposed to Bayesian Inference in ML courseWith further investigation, I come to place where there is MCMC technique to simulate the posterior distribution....
Asked on 06/06/2021 by chris tan
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