Do you know ‘Overfitting' in Machine learning?
Submitted by: MuhammadIn machine learning, when a statistical model describes random error or noise instead of underlying relationship ‘overfitting' occurs. When a model is excessively complex, overfitting is normally observed, because of having too many parameters with respect to the number of training data types. The model exhibits poor performance which has been overfit.
Submitted by: Muhammad
Submitted by: Muhammad
Read Online Natural Language Processing Engineer Job Interview Questions And Answers
Top Natural Language Processing Engineer Questions
☺ | Tell me what is sequence learning? |
☺ | Tell me what are the different methods for Sequential Supervised Learning? |
☺ | Tell us what is bias-variance decomposition of classification error in ensemble method? |
☺ | Tell me what are the two classification methods that SVM ( Support Vector Machine) can handle? |
☺ | Tell us what are the two methods used for the calibration in Supervised Learning? |
Top School Education Categories
☺ | Mathematics Interview Questions. |
☺ | GMAT Interview Questions. |
☺ | Metallurgy Interview Questions. |
☺ | Polio Eradication Officer Interview Questions. |
☺ | Physical Education Interview Questions. |