Vladislavs Dovgalecs's user avatar
Vladislavs Dovgalecs's user avatar
Vladislavs Dovgalecs's user avatar
Vladislavs Dovgalecs
  • Member for 10 years, 7 months
  • Last seen more than a month ago
52 votes

How to intuitively explain what a kernel is?

18 votes
Accepted

Would PCA work for boolean (binary) data types?

12 votes
Accepted

How is the notation $X\sim N(\mu,\sigma^2)$ read?

5 votes
Accepted

Comparing & clustering time series with unequal lengths

5 votes

Introduction to machine learning for mathematicians

4 votes

Interpreting standard deviation for PCA

4 votes

How to determine similarity between histograms? (Which metric to use?!)

4 votes

What is shrinkage?

4 votes

What algorithm should I use to cluster a huge binary dataset into few categories?

4 votes

An algorithm similar to (or based on) K-means that do not require the 'k' number of clusters

4 votes

Fitting simple (binomial) model in PyMC - slow convergence

4 votes

Does each eigenvalue in PCA correspond to one particular original variable?

3 votes

Making sense of independent component analysis

3 votes
Accepted

How to standardize text data for training Neural Networks?

3 votes

When should I not use an ensemble classifier?

3 votes

Reason for not shrinking the bias (intercept) term in regression

3 votes

How to calculate Zipf's law coefficient from a set of top frequencies?

3 votes

What is the difference between test set and validation set?

3 votes

TF-IDF versus Cosine Similarity in Document Search

3 votes

How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?

2 votes

How to prepare/construct features for anomaly detection (network security data)

2 votes

How to include a pattern for'unknown' for an SVM classifier?

2 votes

concept of Precision-Recall curve?

2 votes

How to explain degrees of freedom term to a layman?

2 votes

In natural language processing (NLP), how do you make an efficient dimension reduction?

2 votes

Why do real-world high dimensional data often have much lower inherent dimensionality?

2 votes

Clustering from similarity/distance matrix

2 votes

convert categorical data into numerical data?

2 votes

Why do one-versus-all multi class SVMs need to be calibrated?

2 votes
Accepted

Graphical Model: MAP optimization vs belief propagation