Are there cases where tree based algorithms can do better than neural networks?
110124
When does decision tree perform better than the neural network?
22364
What is the purpose of using a decision tree?
41097
Is there any supervised-learning problem that (deep) neural networks obviously couldn't outperform any other methods?
82269
Backpropagation algorithm and error in hidden layer
88611
How are Random Forests not sensitive to outliers?
22203
Data normalization and standardization in neural networks
61083
Why is Newton's method not widely used in machine learning?
129280
Neural networks: why do we randomize the training set?
79991
Why second order SGD convergence methods are unpopular for deep learning?
57060
Is normalizing the features always good for classification?
104621
On the hardness of data to learn
126595
Does feature selection help improve the performance of machine learning?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
139294
Difference in implementation of binary splits in decision trees
134597
How do substution-permutation networks work?
123017
How does a back-propagation training algorithm work?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$