Questions tagged [learning]
The learning tag has no usage guidance.
11
questions
0
votes
0answers
4 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
21 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 ...
1
vote
1answer
26 views
Empirical Risk Minimization: why is the rate of convergence important?
In section 4 Empirical Risk Minimzation of the paper Principles of Risk Minimization for Learning Theory by V. Vapnik, the author says the following:
In order to solve this problem, the following ...
1
vote
0answers
16 views
Public data and examples for practicing distribution fitting? [closed]
Are there public data for practicing distribution fitting and examples? I want to practice parameter estimation with various methods. To do so it would be helpful if there are reliable examples of ...
0
votes
2answers
32 views
Econometrics online learning course [closed]
i would kindly like to ask you for recommendations regarding introductory, but more importantly advanced online econometrics courses (theory as well as applied, preferably in R). I would be most ...
2
votes
3answers
99 views
How to conduct linear regression with lots of data?
Say we have an absolutely huge dataset, and it's too much to put it all into one linear regression model to train. How can we go about using all of this data?
I was thinking that we could break this ...
0
votes
0answers
49 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
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
27 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 ...
1
vote
1answer
25 views
Convergence under large set of learning rates
What is the interpretation of a stochastic optimization problem where a gradient descent algorithm is converging under a wide range of learning rate schedules (including ones with quite large initial ...
0
votes
0answers
21 views
Machine learning algorithm for finding most similar entries in dataset
I have a pandas Dataframe, which has data as structured below.
...
