Q-learning is a model-free reinforcement learning technique. Specifically, Q-learning can be used to find an optimal action selection policy for…

##### What is Pruning?

Pruning is a technique in machine learning that reduces the size of decision trees by removing sections of the tree…

##### What is Probabilistic Neural Network (PNN)?

Probabilistic Neural Network (PNN) is kind of feedforward neural network. In the PNN algorithm, the parent probability distribution function (PDF)…

##### What is Principal Component Analysis (PCA) ?

Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of…

##### What is Predictive Modeling?

Predictive Modeling is a process through which a future outcome or behavior is predicted based on the past and current…

##### What is Power Analysis?

Power Analysis is an important aspect of experimental design. It allows us to determine the sample size required to detect…

##### What is Paired t-Test?

Paired t-Test has its purpose in the testing is to determine whether there is statistical evidence that the mean difference…

##### What is Overfitting?

Overfitting in mathematics and statistics is one of the most common tasks consisting in attempts to fit a “model” to…

##### What is Out-Of-Sample Evaluation?

Out-Of-Sample Evaluation means to withhold some of the sample data from the model identification and estimation process, then use the…

##### What is Outlier?

Outlier is an observation point that is distant from other observations. An outlier may be due to variability in the…