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Pooling is a technique used in convolutional neural networks to reduce the spatial dimensions of the input volume.
Pooling helps in reducing the computational complexity of the network by reducing the number of parameters and computations in the network.
Common types of pooling include max pooling and average pooling.
Max pooling selects the maximum value from a group of values in the input, while average pooling calculat...
Xgboost is a scalable and accurate implementation of gradient boosting machines.
Xgboost stands for eXtreme Gradient Boosting.
It is a popular machine learning algorithm known for its speed and performance.
Xgboost is used in various fields such as data science competitions, finance, and healthcare.
It can handle missing data and is resistant to overfitting.
Example: Xgboost has been used to win multiple Kaggle competitions
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