Ronald A. Fisher
(10 articles)
Regression
Statistical method used in ML to predict a continuous outcome variable based on one or more predictor variables.
Generality: 860
A-B Testing
Method used to compare two versions of a variable to determine which one performs better in achieving a specific outcome.
Generality: 675
MLE
Maximum Likelihood Estimation
Maximum Likelihood Estimation
Statistical method used to estimate the parameters of a probability distribution by maximizing a likelihood function.
Generality: 780
Log Likelihood
Logarithm of the likelihood function, used in statistical models to measure how well a model explains a given set of data.
Generality: 798
Cross Validation
Statistical method used to estimate the skill of ML models on unseen data by partitioning the original dataset into a training set to train the model and a test set to evaluate it.
Generality: 852
Hypothesis Testing
A statistical method used to make decisions or inferences about one or more data sets.
Generality: 815
Statistical Classification
The problem of identifying which category or class an object belongs to based on its features or characteristics.
Generality: 500
Logistic Regression
Statistical model that estimates the probability of a binary outcome, commonly used for classification tasks.
Generality: 860
Uncertainty Reduction
A process in AI by which systems manage and diminish uncertainty in predictions and decisions to improve performance and reliability.
Generality: 830
Probabilistic Inferencing
A technique in AI focused on drawing conclusions based on the probability of different outcomes, given partial or uncertain information.
Generality: 870