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Practical machine learning refers to the application of machine learning techniques and algorithms to solve real-world problems and address practical challenges. It involves using computational models to automatically learn patterns and make predictions or decisions based on data.

 

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Practical machine learning refers to the application of machine learning techniques and algorithms to solve real-world problems and address practical challenges. It involves using computational models to automatically learn patterns and make predictions or decisions based on data.

 

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 practical machine is not 100% efficient due to the energy loss in friction ,losses etc

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