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What is Balanced data?

Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.

Data-informed decision-making
Data-informed decision-making balances data insights with human expertise and contextual knowledge. It integrates analytical findings with qualitative inputs to create a more comprehensive decision-making process.
Natural Language Processing (NLP)
Natural Language Processing (NLP) is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It combines computational linguistics, deep learning, and statistical models to analyze text and speech. NLP is widely used in applications such as chatbots, machine translation, sentiment analysis, and voice assistants like Siri and Alexa.
Data Warehouse
Data warehouse refers to a centralized system designed for reporting and analytics, integrating data from multiple sources. It supports structured queries, historical analysis, and business intelligence applications, enabling organizations to make data-driven decisions.

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