Training data is a crucial component in the development of machine learning and data science algorithms. It serves as the foundation upon which models are built, and allows the algorithms to learn patterns, relationships, and rules that they can then use to make predictions or classify new data. In more technical terms, training data is used to train a machine learning model, which is essentially a mathematical function that maps input data to output data. During training, the algorithm iteratively adjusts the parameters of the model based on the input data and the desired output, so that it can make…
Sriram ParameswaranApril 26, 2023
