Model training is the process of teaching a machine learning algorithm to make predictions or decisions based on data. It involves optimizing the model's parameters to minimize error and improve accuracy using a training dataset.

Model Training

Model training

machine learning algorithm

predictions

decisions

Data is a collection of facts, statistics, or items of information, often numerical, that are used for analysis, reference, or decision-making. It forms the basis for knowledge generation, enabling insights through its processing and interpretation in various fields.

data

optimizing the model's parameters

minimize error

improve accuracy

A training dataset is a collection of data used to teach a machine learning model to recognize patterns or make predictions. It's crucial for the model's performance, as the quality and quantity of the data directly influence the model's accuracy and ability to generalize to new data.

training dataset

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