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APPROVED BY THE YALE UNIVERSITY IRB 4/27/2022 IRB Protocol #2000032637COMPOUND AUTHORIZATION AND CONSENT FOR PARTICIPATION IN A RESEARCH STUDY YALE UNIVERSITY SCHOOL OF MEDICINE YALE ORT HO PPB YALE
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01
Gather and clean the data that will be used for training the model
02
Select a suitable machine learning algorithm based on the type of problem that needs to be solved
03
Split the data into training and testing sets to evaluate the model's performance
04
Train the model using the training data and adjust hyperparameters to improve results
05
Evaluate the model's performance using the test data and make necessary adjustments if needed
06
Deploy the trained model for real-world applications and monitor its performance regularly

Who needs novel machine learning model?

01
Researchers in the field of artificial intelligence who are looking to develop new algorithms or improve existing ones
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Companies that want to implement machine learning solutions to optimize business processes and gain insights from data
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Data scientists and analysts who are working on projects that require advanced predictive analytics and pattern recognition
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A novel machine learning model refers to a unique and innovative approach or algorithm used in the field of machine learning.
Companies or individuals who have developed or implemented a novel machine learning model are required to file it for regulatory or intellectual property purposes.
Filing a novel machine learning model typically involves documenting the model's architecture, algorithms, datasets used, and any unique features or innovations.
The purpose of a novel machine learning model is to improve the accuracy, efficiency, or performance of machine learning tasks or applications.
Information such as the model's development process, key features, implementation details, and potential applications must be reported on a novel machine learning model.
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