6.5. Overfitting in Machine Learning | Causes for Overfitting and its Prevention

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. This video is about understanding Overfitting in Machine learning, causes of overfitting and how to prevent overfitting.

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less data is the cause of under fitting because our data does get enough experience to learn from it . For over fitting our data set is quite big tha it learns it each amd every feature trend and pattern and apply yhe exactly same trend on new or training data.
That's what i learned.

Ary

Please start a course on deep learning, neural network.. It will be very useful for us..

debashisjana

Awaiting for this video, thank you so much. Overfitting concept is clear.😊
1.As you said training data gets good predict and test data didn't get good prediction.. if we have less data so how can add more data?
2. Or using early stoping or bias variance tradeoff?

sachinvithubone

Hi. What I don´t understand is how do you define noise in the training dataset? is always outliers or is it something else?

guillermogonzalez

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