Useful tips for everyday
What is the significance of weight and bias in an artificial neuron? In Neural network, some inputs are provided to an artificial neuron, and with…
How do you plot a word embed? Create 2-D Text Scatter Plot Visualize the word embedding by creating a 2-D text scatter plot using tsne…
How are graphs plotted? A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or…
What is transfer and reinforcement learning? Abstract Transfer in reinforcement learning is a novel research area that focuses on the development of methods to transfer…
What is Association in regression? An association between two discrete measurements is assessed by correlation. Regression describes and quantifies a relationship between an independent factor…
What is difference between random forest and decision tree? A decision tree combines some decisions, whereas a random forest combines several decision trees. Thus, it…
Is it normal for your weight to stay the same? Your weight may stay the same, even as you lose inches, a sign that you’re…
Why do we use Pretrained models? We use the pretrained model as a feature extractor. Suppose we decide to use models trained on Imagenet to…
How do you use feature important? The idea is simple: after evaluating the performance of your model, you permute the values of a feature of…
How do you select best features for a decision tree? Tree based models calculates feature importance for they need to keep the best performing features…