Quantification
Definition
In the context of AI and data science, quantification refers to the transformation of …
Preprocessing
Instance selection
Definition
Instance selection aims to improve computational efficiency and model performance by …
Feature hashing
Definition
Feature hashing, also known as the hashing trick, allows machine learning models to …
Feature scaling
Definition
Feature scaling standardizes the range of input variables to prevent features with larger …
Feature Engineering
Definition
Feature engineering is the art of leveraging domain expertise to transform raw data into …
Feature Extraction
Definition
Feature extraction involves transforming raw data into a set of features that better …
Data exploration
Definition
Data exploration, often referred to as Exploratory Data Analysis (EDA), is a critical …
Data annotation
Definition
This critical step involves attaching meaningful metadata to raw data points so that …
Data Augmentation
Definition
This method artificially expands the training dataset by creating modified versions of …
Chunking
Definition
Chunking is a critical preprocessing step in Retrieval-Augmented Generation (RAG) and …
Tokenization
Definition
Tokenization is a critical preprocessing step in Natural Language Processing (NLP) that …