<we><edit> <!-- questions and answers -->
cross-validation
normalization
autocorrelation
probability
neural-networks
mathematical-statistics
lme4-nlme
conv-neural-network
distributions
t-test
pca
categorical-data
prediction
references
clustering
bootstrap
multiple-comparisons
data-mining
random-forest
residuals
model-selection
linear-model
feature-selection
econometrics
multilevel-analysis
machine-learning
What is the reason that the Adam Optimizer is considered robust to the value of its hyper parameters?
machine-learning
neural-networks
optimization
conv-neural-network
hyperparameter
Best way to average F-score with unbalanced classes
machine-learning
scikit-learn
average
unbalanced-classes
A2C Loss Function Explosion
machine-learning
neural-networks
reinforcement-learning
actor-critic
Application of Machine Learning to the Automated Theorem Proving
machine-learning
references
Cross-validation for timeseries data with regression
machine-learning
time-series
forecasting
cross-validation
lags
Optimizing the ridge regression loss function with unpenalized intercept
regression
machine-learning
optimization
gradient-descent
ridge-regression
Calculating F-Score, which is the "positive" class, the majority or minority class?
machine-learning
classification
Decision trees, Gradient boosting and normality of predictors
machine-learning
normal-distribution
descriptive-statistics
outliers
extreme-value
What happens if A is not invertible in equation Ax=b?
machine-learning
linear-algebra
In LDA, after collapsed Gibbs sampling, how to estimate values of other latent variables?
machine-learning
sampling
mcmc
latent-dirichlet-alloc
What is the relationship between graphical models and hierarchical Bayesian models?
machine-learning
bayesian
graphical-model
hierarchical-bayesian
dag
Number of observations in a node in XGBoost
machine-learning
boosting
xgboost
Natural Language to SQL query
machine-learning
natural-language
Are these methods suitable for predicting a numeric value?
regression
machine-learning
svm
predictive-models
cart
What is the difference between Conv1D and Conv2D?
machine-learning
conv-neural-network
keras
Comparability of the negative log marginal likelihood in Gaussian processes
machine-learning
gaussian-process
How do the residual blocks prevent exploding gradients?
machine-learning
gradient
residual-networks
Feature engineering for fraud detection
machine-learning
feature-selection
fraud
feature-engineering
Confused about the realizability assumption and equations of upper bound
machine-learning
mathematical-statistics
theory
number of nodes in an unpruned decision tree
machine-learning
cart
combinatorics
Feature scaling/normalization and prediction
regression
machine-learning
prediction
normalization
multidimensional-scaling
How to encode timestamp features toward better meaningful features
machine-learning
data-transformation
scikit-learn
categorical-encoding
data-preprocessing
Learning Curve - Interpreting Bias Variance with Accuracy
machine-learning
variance
scikit-learn
cart
bias
appropriate machine learning algorithm for few (features) variables
machine-learning
Including evolutionary methods in machine learning course
machine-learning
optimization
teaching
evolutionary-algorithms
How do I find multiple change points in an online dataset?
time-series
machine-learning
python
change-point
Is graduate level probability theory (Durett) used often in ML, DL research?
machine-learning
probability
mathematical-statistics
deep-learning
GP: How to select a model for a classification task, based in overall accuracy and log-marginal likelihood?
machine-learning
maximum-likelihood
interpretation
model-selection
gaussian-process
How do these matrices form an order-$4$-tensor?
machine-learning
neural-networks
deep-learning
feature-selection
conv-neural-network
What is the problem with overdifferencing a long memory time series?
regression
machine-learning
time-series
inference
How exactly does machine learning theory work/help in practical problems?
machine-learning
deep-learning
model
predicting x,y position using machine learning
regression
machine-learning
Observation symbols for training a set of HMMs
machine-learning
hidden-markov-model
Bayesian model selection: picking the MAP model by integrating
machine-learning
bayesian
model-selection
prior
Neural network non binary output?
machine-learning
classification
neural-networks
How to know that your machine learning problem is hopeless?
machine-learning
forecasting
modeling
model-selection
forecastability
Why do we use gradients instead of residuals in Gradient Boosting?
machine-learning
optimization
gradient-descent
boosting
xgboost
Model that optimizes mean absolute error always gives same prediction
regression
machine-learning
boosting
least-absolute-deviations
which machine learning approach should I use for generating HTML file based on XML description file
machine-learning
rnn
What does the matrix $M = [diag(m_{:,1}),\ldots,diag(m_{:,m})]$ look like?
machine-learning
neural-networks
deep-learning
convolution
CNN: Range of filters and activation functions
machine-learning
neural-networks
conv-neural-network
Is this clear overfitting?
machine-learning
neural-networks
validation
overfitting
How to set mini-batch size in SGD in keras
machine-learning
neural-networks
python
gradient-descent
What is monotonic classification?
machine-learning
classification
k-nearest-neighbour
Adjust coefficient pearson as CNN loss function
machine-learning
neural-networks
gradient-descent
loss-functions
pearson-r
Finding the closest matching curve
r
machine-learning
Gradient descent and latent factor in matrix factorization
machine-learning
recommender-system
Variational Autoencoder − Dimension of the latent space
machine-learning
neural-networks
normal-distribution
autoencoders
generative-models
What is the best form (Gaussian, Multinomial) of Naive Bayes to use with (one-hot encoded) features?
machine-learning
classification
naive-bayes
Neural Network Trains Fine and Test Predictions are Horrible Bordering on Ridiculous
machine-learning
neural-networks
predictive-models
modeling
prediction
How to insert feature vectors as additional channels in conditional DCGANs
machine-learning
convolution
gan
Lower or higher PCA should be considered as the best PCA
machine-learning
pca
Laplace smoothing understanding implementation
machine-learning
probability
naive-bayes
laplace-smoothing
Help to fully understand Convolutional Neural Networks
machine-learning
conv-neural-network
Difference between feature, feature set and feature vector
machine-learning
Large dataset to take the loan giving decision
machine-learning
large-data
How to automatically select the nugget parameter in Gaussian process regression (GPR)?
machine-learning
scikit-learn
gaussian-process
How to choose the number of features to select the number of features to drop?
r
machine-learning
feature-selection
data-mining
More data, to counteract overfitting, results in worse validation accuracy
machine-learning
deep-learning
Classification: how important is the sample-to-feature ratio?
machine-learning
classification
feature-selection
How to handle machine learning inputs that are related but conceptually isolated
machine-learning
classification
predictive-models
Why does my SVM take so long to run?
machine-learning
python
svm
Difference between "Hill Climbing" and "Gradient Decent"?
machine-learning
terminology
gradient-descent
Sample Weight in Edward
machine-learning
bayesian-network
What are the downsides of bayesian neural networks?
machine-learning
deep-learning
bayesian-network
variational-bayes
How to choose the correct class encoding approach in classification
machine-learning
classification
neural-networks
scikit-learn
Multi-task learning with missing data for one task
machine-learning
neural-networks
natural-language
multitask-learning
Logistic regression with censored labels
regression
machine-learning
logistic
Frequency Matching Between Predictor and Response Variable
machine-learning
time-series
frequency
Decision tree with imbalanced data not affected by pruning
r
machine-learning
cart
rpart
How to transform categorical variable into numerical variable when using SVM or Neural Network
machine-learning
neural-networks
categorical-data
svm
categorical-encoding
Notation to represent the batch-normalised value of x
machine-learning
neural-networks
normalization
notation
batch-normalization
Bagging, boosting and stacking in machine learning
machine-learning
ensemble
model-averaging
What's the three motivations for ensemble learning?
machine-learning
ensemble
Using Boosting tree to generate feature in sklearn
machine-learning
python
scikit-learn
boosting
Artificial neurons based on modelling observed correlations and predicting from them?
machine-learning
correlation
neural-networks
deep-learning
bioinformatics
Evaluating neural network for certain task
machine-learning
neural-networks
conv-neural-network
validation
Machine Learning : Classification algorithm for very high dimensional data which is uniquely definable in a very small sub-space
machine-learning
classification
mixed-model
regularization
gaussian-mixture
Combine a deep neural network with a convolution neural network
machine-learning
neural-networks
conv-neural-network
Neural network only converges when data cloud is close to 0
regression
machine-learning
neural-networks
Computation of the marginal likelihood from MCMC samples
machine-learning
bayesian
sampling
mcmc
likelihood
Tensorflow Sampled_Softmax_loss - correct usage
machine-learning
python
tensorflow
keras
softmax
Difference between Bayes network, neural network, decision tree and Petri nets
machine-learning
neural-networks
bayesian-network
fuzzy
Precision and Recall on equal level
machine-learning
Cross Entropy vs. Sparse Cross Entropy: When to use one over the other
machine-learning
conv-neural-network
loss-functions
information-theory
cross-entropy
Why do we care about Quasi-norm in Statistics and Machine Learning?
machine-learning
mathematical-statistics
Parameter learning in augmented Bayesian Networks
machine-learning
bayesian
hyperparameter tuning in neural networks
machine-learning
neural-networks
deep-learning
Difference between Bag of words and Vector space model
machine-learning
text-mining
vector-fields
Boosted trees and Variable Interactions
machine-learning
classification
interaction
boosting
gbm
Why SGD does not work in approximating circle area formula?
machine-learning
neural-networks
optimization
Feature scaling and mean normalization
machine-learning
self-study
normalization
How are the concepts of correlation matrix and covariance matrix related intuitively
machine-learning
descriptive-statistics
What happens when we feed a 2D matrix to a LSTM layer
machine-learning
lstm
rnn
Difference between Random Forest and Extremely Randomized Trees
machine-learning
correlation
references
random-forest
Statistics in the context of Search Engine Optimization (SEO)?
machine-learning
references
How to use weights with Elasticnet regression in python?
regression
machine-learning
python
glmnet
elastic-net
Help interpreting short / truncated calibration curve
machine-learning
predictive-models
validation
unbalanced-classes
calibration
Can recurrent neural networks be used to classify the language of a word?
machine-learning
neural-networks
natural-language
Interpret learning curves: Training error and validation error are low
machine-learning
cross-validation