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Paper ML13Application of Machine Learning (ML) in Tumor Detection in Oncology Study Animesh Patel, NJ, USA Ramesh Patel, Rang Technologies LLC, NJ, USA ABSTRACT Machine Learning (ML) has been a buzz

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Repeat steps 2-6 if necessary: Machine learning is an iterative process, so you might need to repeat these steps to improve the application over time.

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Many different industries and individuals can benefit from applications of machine learning. Some examples include:

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What is application of machine learning?

Machine learning is used in various fields such as healthcare, finance, marketing, and more to analyze data, identify patterns, and make predictions.

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Anyone looking to implement machine learning in their business or research projects may need to submit an application.

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To fill out an application for machine learning, you will need to provide information about the project goals, data sources, algorithms used, and expected outcomes.

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The purpose of applying machine learning is to leverage data to gain insights, automate processes, and improve decision making.

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Information such as project scope, data collection methods, model training techniques, and evaluation metrics must be included in the application.

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