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Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach Andreas Holzinger1(B) , Bernd Malle1,2 , Peter Kieseberg1,2 , Peter M. Roth3 , Heimo Muller1,4 , Robert

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What is machine learning and knowledge?

Machine learning is a type of artificial intelligence that allows computers to learn from data and improve their performance on a task without being explicitly programmed. Knowledge refers to information or skills acquired through experience or education.

Who is required to file machine learning and knowledge?

Anyone using machine learning algorithms or applying knowledge to solve problems or make decisions may be required to file reports on machine learning and knowledge.

How to fill out machine learning and knowledge?

Machine learning and knowledge can be filled out by documenting the algorithms used, the data sources, the training process, and the results obtained.

What is the purpose of machine learning and knowledge?

The purpose of machine learning and knowledge is to enable computers to learn from data and make decisions based on that knowledge.

What information must be reported on machine learning and knowledge?

The information that must be reported on machine learning and knowledge includes the algorithms used, the data sources, the training process, and the results obtained.

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