query: What is the relationship between gradient boosting and gradient decent?
positive_passages.docid: 143253
positive_passages.text: How is gradient boosting like gradient descent?
negative_passages.docid: 62703
negative_passages.text: Is Gradient Boosting Regression Tree able to learn linear models
negative_passages.docid: 71775
negative_passages.text: What is the difference between EM and Gradient Ascent?
negative_passages.docid: 59635
negative_passages.text: Stochastic gradient descent Vs Mini-batch size 1
negative_passages.docid: 126548
negative_passages.text: Noisy Gradient Effect
negative_passages.docid: 132334
negative_passages.text: Is it okay to use cross entropy loss function with soft labels?
negative_passages.docid: 39155
negative_passages.text: How and why do normalization and feature scaling work?
negative_passages.docid: 135643
negative_passages.text: Gradient and Swiftest Ascent
negative_passages.docid: 74497
negative_passages.text: Intuitive analysis of gradient, divergence, curl
negative_passages.docid: 148798
negative_passages.text: Closed form and gradient calculation for linear regression
negative_passages.docid: 38468
negative_passages.text: How long do Boosts stay around, if not invoked immediately or obviated by situation-change?
negative_passages.docid: 110124
negative_passages.text: When does decision tree perform better than the neural network?
negative_passages.docid: 56397
negative_passages.text: Why do smaller weights result in simpler models in regularization?
negative_passages.docid: 108282
negative_passages.text: How to choose between learning algorithms
negative_passages.docid: 13412
negative_passages.text: Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
negative_passages.docid: 67559
negative_passages.text: Ridge\Lasso -- Standardization of dummy indicators
negative_passages.docid: 98895
negative_passages.text: Discriminant analysis vs logistic regression