Can we stack the strong learners?
40520
In boosting, why are the learners "weak"?
16209
Importance of optimizing the correct loss function
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
69831
Obtaining knowledge from a random forest
126373
Can we use MLE to estimate Neural Network weights?
87457
With k-fold cross-validation, do you average all $k$ models to build the final model?
98312
First Iteration in Gradient Boosting Algorithm
25120
Can't deep learning models now be said to be interpretable? Are nodes features?
93969
Is it possible to learn a neural networks for a constant target?
79824
Varied Activation Functions in Neural Networks
51420
Evaluating multiclass imbalanced problem per class
124299
Category Theory textbook (learning through guided discovery Dummit and Foote)
117722
Interplay between early stopping and cross validation
151342
Is there an optimal loss function for dealing with imbalanced classes?
4929
A five level deep list
58515
dropout: forward prop VS back prop in machine learning Neural Network
142784
For linear classifiers, do larger coefficients imply more important features?