questions/machine-learning
The next move's probability vector (called the ...READ MORE
You are correct: categorization applies a label ...READ MORE
Regression testing is used to ensure that ...READ MORE
Weka is a classification algorithm. This is ...READ MORE
Your data is transformed into a range ...READ MORE
You could try something like this. my_nn = ...READ MORE
Regression testing is a test suite that ...READ MORE
The issue is because you're using a ...READ MORE
Unit test: Specify and test one point ...READ MORE
A Few Constraints This is an example of ...READ MORE
There isn't a parameter for DataFrame.plot(). Seaborn, ...READ MORE
Not exactly. If your sigmoid output was ...READ MORE
Try to use a different form of ...READ MORE
You can use any distance function with ...READ MORE
The goal of regression is to forecast ...READ MORE
In classification tasks, the user tries to ...READ MORE
Mostly by trial and error. When you ...READ MORE
Batch normalization is a technique that is ...READ MORE
Dimensionality reduction is used in Machine Learning ...READ MORE
There are various feature selection processes used ...READ MORE
Evaluation of Variance: variance = np.var(prediction) # Where ...READ MORE
This is because the regression coefficients of ...READ MORE
‘L2 regularization‘ or Ridge Regularization adds penalty ...READ MORE
L2 Regularization is known as Ridge Regression. ...READ MORE
Entropy is uncertainty/ randomness in the data, ...READ MORE
Unsupervised learning is used with the K-means ...READ MORE
Confusion Matrix is a classification matrix used ...READ MORE
Information gain works on the concept of ...READ MORE
the k-Nearest Neighbors is mentioned as one ...READ MORE
In which cases is it better to ...READ MORE
what happens when you want to do ...READ MORE
What is the exact difference between a ...READ MORE
Under caption_generator.py change the following line as follow ...READ MORE
The above situation is the case where ...READ MORE
Classification is about classifying categorical variables in ...READ MORE
A large number of layers causes serious ...READ MORE
The output will be discrete but the ...READ MORE
Consider switching the algorithm instead of using ...READ MORE
Classification Score is used for discrete values ...READ MORE
C is known as a "hyperparameter." The ...READ MORE
Well not likely, only one discriminative method ...READ MORE
The loss function is a function of ...READ MORE
Backpropagation in unsupervised learning; probably the models ...READ MORE
Cross-entropy is taken from the information theory ...READ MORE
Supervised and unsupervised learning are two types ...READ MORE
Naive Bayes Classification uses probability to classify ...READ MORE
Cost function is a way to evaluate ...READ MORE
I am creating a dummy data set ...READ MORE
Transfer function and Activation function with respect ...READ MORE
OR
At least 1 upper-case and 1 lower-case letter
Minimum 8 characters and Maximum 50 characters
Already have an account? Sign in.