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Showing posts with label cross validation. Show all posts
Showing posts with label cross validation. Show all posts
Thursday, May 20, 2021

Role of a Machine Learning Algorithm - Concept Notes in Statistics and machine Learning

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Examples on Hyper-Parameters , Free Parameters and Meta-Parameters in Machine Learning - Concept Notes in Statistics and machine Learning

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Decision Steps to be considered and taken before training a Artificial Neural Network - Training Parameter - Concept Notes in Statistics and machine Learning

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Considerations before training a Artificial Neural Network - Model Type Parameter - Concept Notes in Statistics and machine Learning

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Considerations before training a Artificial Neural Network - Architecture Parameter - Concept Notes in Statistics and machine Learning

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Considerations before training a Artificial Neural Network - Training Parameter - Concept Notes in Statistics and machine Learning

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Considerations before training a Artificial Neural Network - Model Parameter - Concept Notes in Statistics and machine Learning

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Examples on Concept of Hyper-Parameters in Machine Learning - Concept Notes in Statistics and machine Learning

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Summary notes on Concept of Hyper-Parameters - Concept Notes in Statistics and machine Learning

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Cheat Sheet plus Important notes on Concept of Gradient Descent Algorithm and its representative equation and meaning - Concept Notes in Statistics and machine Learning

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Wednesday, May 19, 2021

Short Notes on Concept of Machine Learning Curves of an Algorithm and Interpretation - Concept Notes in Statistics and machine Learning

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Short Notes on Concept of Learning Curves vs Validation Curve of an Algorithm - Concept Notes in Statistics and machine Learning

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Short Notes on procedure to create a Learning Curve of an Algorithm - Concept Notes in Statistics and machine Learning

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Short Notes on Depiction of Learning Curves of an Algorithm - Concept Notes in Statistics and machine Learning

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Short Notes on Concept of Learning Curves of an Algorithm - Concept Notes in Statistics and machine Learning

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Short Notes on Concept of Training and Testing over a Dataset - Concept Notes in Statistics and machine Learning

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Short Notes on Concept of Snooping over a Dataset for Test and Training Split - Concept Notes in Statistics and machine Learning

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Short Notes on Concept of Random Splitting over a Dataset for Test and Training Split - Concept Notes in Statistics and machine Learning

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