Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
109 topics found for
“data modeling”
Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
Decision Tree
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
ERD
Entity Relationship Diagram (ERD) is a visual representation of the relationships between entities in a database.
AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
Multiple Regression
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.