Top new questions this week:
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What is the scikit-learn Coordinate Descent (CD) algorithm for Non-negative Matrix Factorization (NMF)?
The sklearn implementation of NMF has two different solvers, Coordinate Descent and ...
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I have a panel data set. My dependent variable is total costs, and almost all of my independent variables are categorical variables. For instance, age is "old","new". Now i have some questions.
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I have three neural net models that I am running on the same dataset (of 7 classes) and calculate their class performance and also ROC curves. The firs tmodel is a 4-layer model with 8 neurons in each ...
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I have a dataset regarding a specific junction on a piece of road and the cars that will cross that junction. I am trying to predict the order that cars will pass the specific junction given a set of ...
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There is a theorem that gradient at point is perpendicular to tangent line to contour line at given point.
Why in this picture it seems that this rule is not respected?
source: ...
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I have prepared Jupyter Notebook with some findings and I shared it with other team members through GitHub to get their feedback in a written form. It used to work like this when working together on a ...
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I have a wine dataset with 13 features that indicates 3 different wine classes (target), and k-NN, SVM with linear kernel and SVM with rbf kernel algorithms to be tried with this dataset.
My goal is ...
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Greatest hits from previous weeks:
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I often read that in case of Deep Learning models the usual practice is to apply mini batches (generally a small one, 32/64) over several training epochs. I cannot really fathom the reason behind ...
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In the context of Machine Learning, I have seen the term Ground Truth used a lot. I have searched a lot and found the following definition in Wikipedia:
In machine learning, the term "ground ...
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I am starting to learn CNNs using Keras. I am using the theano backend.
I don't understand how to set values to:
batch_size,
steps per epoch,
validation_steps.
What should be the value set to ...
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I got ValueError when predicting test data using a RandomForest model.
My code:
clf = RandomForestClassifier(n_estimators=10, max_depth=6, n_jobs=1, verbose=2)
clf.fit(X_fit, y_fit)
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What are the differences, if any, between a "data scientist" and a "machine learning engineer"?
Over the past year or so "machine learning engineer" has started to show up a lot in job postings. ...
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I am trying out a multiclass classification setting with 3 classes. The class distribution is skewed with most of the data falling in 1 of the 3 classes. (class labels being 1,2,3, with 67.28% of the ...
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I've been trying to make these packages work for quite some time now but with no success. Basically the error is:
GraphViz's Executables not found
EDIT: I had not posted a terminal log with the ...
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Can you answer these questions?
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I have end-of-day time-series dataset with following data
Ticker Date Open High Low Close Volume
I have calculated end-of-day closing returns (Close_t/Close_t-1) -1 at time t, ...
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I want to find the similarity of words using the BERT model within the NER task. I have my own dataset so, I don't want to use the pre-trained model.
I do the following:
from transformers import ...
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In a robot making company, a robot must be made from a high quality alloy. There are n candidate alloys to be used for this purpose. Each alloy has p attributes and a quality value q. Assessment and ...
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