Questions tagged [learning]
The learning tag has no usage guidance.
7
questions with no upvoted or accepted answers
3
votes
0answers
29 views
How can I model this Bayesian learning process of two types of coins?
(As suggested on the comment, I slightly changed my previous question.)
I have $N$ coins and I am testing them one by one if it is fair or not. I know that, if it is unfair, the probability of head ...
1
vote
0answers
70 views
Does LSTM provide online learning for streaming data (online parameters' update)?
I read something about LSTM and I noticed that the training is done on a training set and it is long-lasting.
How to behave to predict new points if I have daily streaming data? Do I have to train the ...
0
votes
0answers
6 views
Comparing Multiple ML Models: Do CV for each model independently, or use same splits for each model?
I was trying to figure out the most efficient way to compare multiple models using sklearn.
Let's say I have three models to compare:
Naive Bayes
Logistic Regression
SVM
I want to train and obtain ...
0
votes
1answer
24 views
Test Accuracy same as Training Accuracy
I am building a prediction model using KNN. After experimenting the data using KFOLD Cross Validation technique, I've got the mean accuracy and applied them on the real model and it turns out that the ...
0
votes
0answers
21 views
Normal learning model
How can I go about calculating a posterior with this information?
Suppose that $z_{t}$ is a stochastic signal about a variable $\eta$, $z_{t}=-\alpha\eta +\epsilon_{t}$, where $\eta$ is Normally ...
0
votes
0answers
37 views
Combining two datasets for Random Forest binary classification
I was tasked to perform a brief meta-analysis between three datasets, all with identical features, that studied different sources of neurodegeneration. As a meta-analysis these datasets were drawn ...
0
votes
0answers
22 views
Machine learning algorithm for finding most similar entries in dataset
I have a pandas Dataframe, which has data as structured below.
...
