Latest questions in Machine Learning

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Leela Chess Zero: how large is the probability vector in the output layer?

The next move's probability vector (called the ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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Classification vs Regression?

You are correct: categorization applies a label ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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What does regression test mean?

Regression testing is used to ensure that ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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How do I create a linear regression model in Weka without training?

Weka is a classification algorithm. This is ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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Linear Regression :: Normalization (Vs) Standardization

Your data is transformed into a range ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
 • 6,000 points • 2,458 views
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sklearn MLPClassifier - zero hidden layers (i.e. logistic regression)

You could try something like this. my_nn = ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
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What's the difference between regression testing and mutation testing?

Regression testing is a test suite that ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
 • 6,000 points • 700 views
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Logistic Regression not working because of "unknown label type 'continuous'"?

The issue is because you're using a ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
 • 6,000 points • 3,158 views
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What are unit tests, integration tests, smoke tests, and regression tests?

Unit test: Specify and test one point ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
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Is there a way to force the coefficient of the independent variable to be a positive coefficient in the linear regression model used in R?

A Few Constraints This is an example of ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
 • 6,000 points • 2,031 views
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Can I draw a regression line and show parameters using scatterplot with a pandas dataframe?

There isn't a parameter for DataFrame.plot(). Seaborn, ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
 • 6,000 points • 2,485 views
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1 answer

Keras image binary classification, which class is assigned probability 0 and 1 ? Using Functional API

Not exactly.  If your sigmoid output was ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
 • 6,000 points • 1,509 views
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How to resolve heteroscedasticity in Multiple Linear Regression in R?

Try to use a different form of ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
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DBSCAN algorithm and clustering algorithm for data mining

You can use any distance function with ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
 • 6,000 points • 852 views
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Difference between Regression and classification in Machine Learning?

The goal of regression is to forecast ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
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difference between classification and regression in k-nearest neighbor?

In classification tasks, the user tries to ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
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When should Data Binning be used in data processing?

Mostly by trial and error. When you ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
 • 5,480 points • 3,030 views
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Is batch normalization useful for small networks?

Batch normalization is a technique that is ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
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What does dimensionality reduction mean?

Dimensionality reduction is used in Machine Learning ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
 • 5,480 points • 416 views
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feature selection for regression vs classification

There are various feature selection processes used ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
 • 5,480 points • 544 views
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bias and variance calculation for linear regression

Evaluation of Variance: variance = np.var(prediction) # Where ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
 • 5,480 points • 1,464 views
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Why is random_state required for ridge & lasso regression classifiers?

This is because the regression coefficients of ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
 • 5,480 points • 845 views
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What is alpha in ridge regression?

‘L2 regularization‘ or Ridge Regularization  adds penalty ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
 • 5,480 points • 982 views
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L2 regularization in Logistic regression vs NN

L2 Regularization is known as Ridge Regression. ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
 • 5,480 points • 1,568 views
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What is "entropy and information gain"?

Entropy is uncertainty/ randomness in the data, ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
 • 6,000 points • 19,154 views
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Training and testing data in machine learning

Unsupervised learning is used with the K-means ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
 • 6,000 points • 446 views
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What is the difference between a Confusion Matrix and Contingency Table?

Confusion Matrix is a classification matrix used ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
 • 6,000 points • 1,328 views
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What is the actual meaning implied by information gain in data mining?

Information gain works on the concept of ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
 • 6,000 points • 390 views
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Is k-Nearest Neighbors algorithm used a lot in real life?

the k-Nearest Neighbors is mentioned as one ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 286 views
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Decision tree vs. Naive Bayes classifier

In which cases is it better to ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 488 views
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Limitations of Regression in Machine Learning?

what happens when you want to do ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 212 views
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Difference between classification and regression, with SVMs

What is the exact difference between a ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 580 views
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Getting one word as caption with zero probability using pretrained checkpoints for image captioning-im2txt

Under caption_generator.py change the following line as follow ...READ MORE

Feb 27, 2022 in Machine Learning by CoolCoder
 • 4,400 points • 315 views
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Alternatives to linear regression for dataset with many points with small value and some extreme values

The above situation is the case where ...READ MORE

Feb 25, 2022 in Machine Learning by Dev
 • 6,000 points • 620 views
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What is the difference between classification and prediction?

Classification is about classifying categorical variables in ...READ MORE

Feb 25, 2022 in Machine Learning by Dev
 • 6,000 points • 1,015 views
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What is the difference between Deep Learning and traditional Artificial Neural Network machine learning?

A large number of layers causes serious ...READ MORE

Feb 25, 2022 in Machine Learning by Dev
 • 6,000 points • 352 views
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Is predicting number of sales a Regression or Classification problem?

The output will be discrete but the ...READ MORE

Feb 25, 2022 in Machine Learning by Dev
 • 6,000 points • 981 views
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Hierarchical clustering of 1 million objects

Consider switching the algorithm instead of using ...READ MORE

Feb 24, 2022 in Machine Learning by Nandini
 • 5,480 points • 353 views
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Difference between classification and regression score in Python scikit learn

Classification Score is used for discrete values ...READ MORE

Feb 24, 2022 in Machine Learning by Nandini
 • 5,480 points • 418 views
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what is C parameter in sklearn Logistic Regression?

C is known as a "hyperparameter." The ...READ MORE

Feb 24, 2022 in Machine Learning by Nandini
 • 5,480 points • 19,078 views
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Can we use Normal Equation for Logistic Regression ?

Well not likely,  only one discriminative method ...READ MORE

Feb 24, 2022 in Machine Learning by Nandini
 • 5,480 points • 771 views
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What is difference between loss function and RMSE in Machine Learning?

The loss function is a function of ...READ MORE

Feb 23, 2022 in Machine Learning by Dev
 • 6,000 points • 2,451 views
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Training and testing data in machine learning

Unsupervised learning is used with the K-means ...READ MORE

Feb 23, 2022 in Machine Learning by Dev
 • 6,000 points • 390 views
0 votes
1 answer

Machine Learning: Unsupervised Backpropagation

Backpropagation in unsupervised learning; probably the models ...READ MORE

Feb 23, 2022 in Machine Learning by Dev
 • 6,000 points • 389 views
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What is cross-entropy?

Cross-entropy is taken from the information theory ...READ MORE

Feb 23, 2022 in Machine Learning by Dev
 • 6,000 points • 500 views
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What is the difference between supervised learning and unsupervised learning?

Supervised and unsupervised learning are two types ...READ MORE

Feb 22, 2022 in Machine Learning by Nandini
 • 5,480 points • 762 views
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A simple explanation of Naïve Bayes Classification

Naive Bayes Classification uses probability to classify ...READ MORE

Feb 22, 2022 in Machine Learning by Nandini
 • 5,480 points • 279 views
0 votes
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difference between a cost function and the gradient descent equation in logistic regression?

Cost function is a way to evaluate ...READ MORE

Feb 22, 2022 in Machine Learning by Nandini
 • 5,480 points • 1,026 views
0 votes
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How does Label Encoder assigns the same number?

I am creating a dummy data set ...READ MORE

Feb 22, 2022 in Machine Learning by Nandini
 • 5,480 points • 1,253 views
0 votes
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Is there any difference between an activation function and a transfer function?

Transfer function and Activation function with respect ...READ MORE

Feb 21, 2022 in Machine Learning by Dev
 • 6,000 points • 3,042 views
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