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What is Data Preprocessing?

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Data Preprocessing involves preparing and cleaning raw data before analysis. By removing noise, selecting relevant features, and addressing missing values, businesses can ensure data quality and improve the accuracy and effectiveness of AI models.

Other Definitions

Large Language Model (LLM)

A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are…

Clustering

Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…

Forecasting

Forecasting involves predicting future outcomes or trends based on historical data and patterns. By analysing past data and applying statistical techniques, businesses can make…

Federated Learning

Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated…
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