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How do you handle machine learning? Machine Learning Workflow Get Data. The first step in the Machine Learning process is getting data. Clean, Prepare &…
Does logistic regression use maximum likelihood? In order to chose values for the parameters of logistic regression, we use maximum likelihood estimation (MLE). The labels…
What is a YAML file and what is it used for? YAML is a data serialization language that is often used for writing configuration files.…
What is false positive prediction? A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an…
Is SiLU better than ReLU? The SiLU function can only be used in the hidden layers of the deep neural networks and only for reinforcement…
How are word vectors trained on Wikipedia using fastText? Wiki word vectors We are publishing pre-trained word vectors for 294 languages, trained on Wikipediausing fastText.…
Is random forest suitable for large datasets? Random Forest is an ensemble of classification algorithm widely used in much application especially with larger datasets because…
What is the output of ReLU? The rectified linear activation function or ReLU for short is a piecewise linear function that will output the input…
What are the parameters of Conv2D? Mandatory Conv2D parameter is the numbers of filters that convolutional layers will learn from. It is an integer value…
What are the effective methods of dimension reduction? Feature extraction and dimension reduction can be combined in one step using principal component analysis (PCA), linear…