Questions tagged [machine-learning]
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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How weight vector behave when we initialize the weight to 0 in case of perceptron
While reading in book i encountered this statement
Now, the reason we don't initialize the weights to zero is that the learning rate (eta) only has an effect on the classification outcome if the ...
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Everything is classified as background by segmentation model
I am training a U-NET model for medical image segmentation. Problem is that the binary masks that im using to train the model mostly consist of background pixels and a very small region of the whole ...
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Advice on deep learning PC build using dual 4090s
I’m an engineering grad student, and I’ve been tasked with finding parts for building a shared workstation for my lab. Our work includes deep learning, computer vision, network analysis, reinforcement ...
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How to create modeling data for predciting Customer Lifetime Value? and Definitions of Customer Lifetime Value
I'm trying to build this CLTV model for customers coming to purchase products over time but I'm new to CLTV, so got some questions to clarify:
Since each customer was acquired in different time point,...
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Level of confidence for binary classification
I’m relatively new to PyTorch and deep learning. I was able to create a model and analyze a data set for both a training and test set in a binary classification problem. Everything is working well. ...
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Live odds data set for horse racing
I am looking for a resource of live odds for horse racing to implement in my model. I know they exist, I just can't find anything that has worked, yet. Live, updated and accessible are what I'm ...
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How to increase the optimial cutoff point(youden index) after training a model?
So I trained a model based on a medical dataset and and I got an AUROC for detecting cancer in brain images as about 0.96 and i noticed that the youden index is 0.1 but i want to increase it to 0.5 , ...
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Where can I find a Database of Corrected Essays in Portuguese-BR?
I'm looking for a database of essays that could be from ENEM, competitions, entrance exams, universities, etc., however, they must have been corrected in Portuguese-BR by humans. Does anyone know ...
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What's the right machine learning approach to mark rubrics based on sequences of data?
I'm a teacher and I'm working on a pet project to help streamline some of my assessment workflows for my students. One of those workflows is gathering data on student progress in the form of a rubric ...
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Detection of musical instruments using Yamnet
My goal is to detect musical instruments with AI (machine learning).
I'm currently using the Yamnet model to make inferences, but it has a very wide range of categories, for example, "Growling&...
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Use a metric that is not available in the list of metric for xgboost
Working in R.
I am following this post on stack overflow.
I am train an xgboost model and I want to use another metric that is not in the list of metric we can whoose for the eval_metric parameter.
I ...
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How to create consistent dummy variables in Inference code?
I am using pd.get_dummies on a categorical column to create dummy variables.
The Training pipeline is something like this
Normalization
Dummy variable Creation
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Fequency encoding in R while using a cross validated model: How to use step_lencode_mixed()
One way of addressing high cardinality in a column is the use of frequency encoding. However, if you use a cross validated analysis plan the you would need to re-encode the column at each step.
It's ...
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Generating transaction data for a dataset to train on
My project is to predict what payment option a customer might use depending on various factors on a checkout screen.
For example here are some of the fields I would have
Variables : User_Location ...
