What are Precision and Recall? After the predictive model has been finished, the most important question is: How good…

# Category: Glossary

Data science glossary, a dictionary for machine learning, deep learning, neural networks.

##### What is Resampling?

Resampling is any technique of generating a new sample from an existing dataset. There is a variety of methods for…

##### What is Regularization?

What is Regularization? In Machine Learning, very often the task is to fit a model to a set of training…

##### What is Regression?

Regression is a statistical measure used that attempts to determine the strength of the relationship between one dependent variable and…

##### What is Random Sampling?

Random sampling. In this technique, each member of the population has an equal chance of being selected as the subject.…

##### What is Random Forest?

Random Forest or Random Decision Forest are an ensemble learning method for classification, regression, and other tasks, that operate by…

##### What is Radial Basis Function(RBF) network?

Radial Basis Function(RBF) network is an artificial neural network that uses radial basis functions as activation functions. The output of…

##### What is QQ plot?

QQ plots – Quantile-Quantile plots are a graphical technique for determining if two data sets come from populations with a…

##### What is Q-learning?

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…