AI Datasets: Bias Mitigations Algorithmic Blind Spot
AI is rapidly transforming industries, and at the heart of every successful artificial intelligence application lies a crucial component: high-quality AI datasets. These datasets act as the fuel for training AI models, enabling them to learn patterns, make predictions, and perform complex tasks. Understanding the landscape of AI datasets – what they are, where to find them, and how to effectively use them – is essential for anyone venturing into the world of artificial intelligence.
What are AI Datasets?
Defining AI Datasets
AI datasets are structured collections of data that are used to train and evaluate machine learning models. They consist of examples, each with features and a corresponding target variable (in supervised learning). These datasets can take various forms, including:
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