Useful tips for everyday
How are parameter estimates used in gradient descent? We make an hypothesis about the parameters values, assigning values to $ heta_0$ and $ heta_1$, and…
How do you evaluate the model? The three main metrics used to evaluate a classification model are accuracy, precision, and recall. Accuracy is defined as…
What is a significant quote? What makes a Quotation or Passage Significant? 1. It contains opinion or philosophy that connects with the motifs or important…
Why log transformations of many time series variables is often useful? For forecasting and economic analysis many variables are used in logarithms (logs). In time…
When to use warning message in Lib / warnings.py? Source code: Lib/warnings.py Warning messages are typically issued in situations where it is useful to alert…
How do you find P distance? p-distance This distance is merely the proportion (p) of nucleotide sites at which the two sequences compared are different.…
How to use batch normalization in a network? Calculate the mean and variance of the layers input. 2. Normalize the layer inputs using the previously…
Is crypto mining bad for your hardware? GPU mining itself isn’t a danger to your PC—it’s the mileage. Since most GPUs rely on attached or…
Which statement is true about the KNN algorithm? KNN algorithm is one of the simplest classification algorithm and it is one of the most used…
How are test sets different from train validation? The test set is generally well curated. It contains carefully sampled data that spans the various classes…