Objective function = Training Loss + Regularization
Regularization, measures complexity of model.
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- python unix style pathname pattern expansion
- Building OpenCV with face module (opencv_contrib) ...
- python notes
- Installin wxpython on Windows with Anaconda
- python in-built data types
- Warning:java: source value 1.5 is obsolete and wil...
- XGBoost Linear Regression output incorrect
- python print object memory address
- Pandas chained indexing - example
- Installing Anaconda and xgboost on Ubuntu
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- Errors running apt-get on aws ubuntu instance
- ML notes : some data sources
- Great explanation of how async/non blocking I/O in...
- ML Notes : Objective function
- ML notes : good explanation of gradient descent
- ML Notes : Precision vs Recall (true positive rate)
- ML notes : linear regression vs logistic regression
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- ML Notes : Area Under Curve (AUC) vs Overall Accuracy
- memory being used by httpd
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