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Which clustering technique is best? The Top 5 Clustering Algorithms Data Scientists Should Know K-means Clustering Algorithm. Mean-Shift Clustering Algorithm. DBSCAN – Density-Based Spatial Clustering…
Why is the sigmoid activation function not recommended for hidden units but it is fine for an output unit? Sigmoid and tanh should not be…
What is perceptron model in neural network? Introduction. • A perceptron is a simple model of a biological neuron in an. artificial neural network. •…
How to install packages in weka? Execute WEKA, from the main GUI Chooser select Tools->Package Manager. The package can be installed using the url: http://flanagan.ugr.es/weka/JCDT.zip…
What is the pooling layer used in a convolution neural network? pooling layers are used to down sample the volume of convolution neural network by…
Is bias same as overfitting? 1 Answer. They do not exactly mean the same thing, but they are correlated in the following manner: Over fitting…
What is the math background for machine learning? Mathematics are the prerequisites for machine learning because machine learning is math. The computer is only useful…
How is Arima model used in forecasting? The ARIMA model predicts a given time series based on its own past values. It can be used…
What is the objective of recommendation system? The objective of recommender systems is to provide recommendations based on recorded information on the users’ preferences. These…
What is Gaussian Naive Bayes in machine learning? Gaussian Naive Bayes is a variant of Naive Bayes that follows Gaussian normal distribution and supports continuous…