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Machine learning approach for early detection of autism by combining questionnaire and home video screening Hakim Abbas1, Ford Garberson2, Eric Glover3, and Dennis P Wall4 1,2 Contains., Palo Alto,
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What is machine learning approach for?
Machine learning approach is used to create algorithms that can learn from and make predictions or decisions based on data.
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Various professionals such as data scientists, researchers, and machine learning engineers may be required to file a machine learning approach.
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Machine learning approach can be filled out by documenting the data used, the algorithms employed, the model evaluation process, and any assumptions made during the development.
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The purpose of a machine learning approach is to improve the accuracy and efficiency of predictions or decisions made by a system.
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Information such as data sources, preprocessing techniques, model architecture, hyperparameters, evaluation metrics, and any ethical considerations must be reported in a machine learning approach.
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