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earned this badge 25 times.
What machine learning techniques can, once trained, generate prediction despite some missing inputs?
Awarded Jun 1 at 11:28
Differences between Multi-layer NN, Hopfield, Helmholtz and Boltzmann machines
Awarded Mar 6 at 0:56
Choosing filter size, strides etc. in a CNN?
Awarded May 13, 2022 at 7:50
Regression vs. classification and generative vs. discriminative
Awarded Apr 12, 2022 at 9:36
Iterative process for removing extreme samples
Awarded Nov 29, 2021 at 16:42
Does k-NN with k=1 always implies overfitting?
Awarded Jun 10, 2021 at 4:56
How to calculate optimal zero padding for convolutional neural networks?
Awarded May 30, 2021 at 13:27
Why is gradient descent required?
Awarded Nov 1, 2020 at 10:55
Having a conjugate prior: Deep property or mathematical accident?
Awarded Jul 7, 2020 at 3:42
Machine Learning to Predict Class Probabilities
Awarded Jan 27, 2020 at 14:15
Non-orthogonal technique analogous to PCA
Awarded Jul 15, 2019 at 19:50
What does kernel size mean?
Awarded Jun 3, 2019 at 15:10
What is one class SVM and how does it work?
Awarded Jan 27, 2019 at 14:45
Curse of dimensionality: kNN classifier
Awarded Dec 14, 2018 at 21:05
Why must one trade off between bias and variance?
Awarded May 16, 2018 at 8:32
What are good initial weights in a neural network?
Awarded Jan 1, 2018 at 12:05
Why is optimizing a mixture of Gaussian directly computationally hard?
Awarded Jan 1, 2018 at 12:05
Mathematical background for neural networks
Awarded Dec 26, 2017 at 1:11
Why not always use ensemble learning?
Awarded Oct 31, 2017 at 23:33
Machine learning algorithms to handle missing data
Awarded Apr 26, 2017 at 6:34
Gradient Boosting Tree vs Random Forest
Awarded Sep 26, 2016 at 10:01
Where is density estimation useful?
Awarded Jun 21, 2016 at 13:13
Softmax layer in a neural network
Awarded Apr 3, 2016 at 0:15
Is KNN a discriminative learning algorithm?
Awarded Jan 19, 2016 at 7:43
tanh activation function vs sigmoid activation function
Awarded Dec 12, 2015 at 11:55

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