| The curse of dimensionality (0) | 2020.05.01 |
|---|---|
| Transposed Convolution (0) | 2020.04.13 |
| Mahalonobis Distance (0) | 2020.03.06 |
| Gaussian Discriminant Analysis (0) | 2020.03.05 |
| non-degenerate Distribution (0) | 2020.03.04 |
https://www.machinelearningplus.com/statistics/mahalanobis-distance/
Mahalonobis Distance - Understanding the math with examples (python) - Machine Learning Plus
Mahalanobis distance is an effective multivariate distance metric that measures the distance between a point and a distribution. It is an extremely useful metric having, excellent applications in multivariate anomaly detection, classification on highly imb
www.machinelearningplus.com
| Transposed Convolution (0) | 2020.04.13 |
|---|---|
| AE vs VAE (0) | 2020.04.08 |
| Gaussian Discriminant Analysis (0) | 2020.03.05 |
| non-degenerate Distribution (0) | 2020.03.04 |
| Infimum and supremum (0) | 2020.03.04 |
https://beginningwithml.wordpress.com/2018/09/18/7-gaussian-discriminant-analysis/
8 – Gaussian Discriminant Analysis
Gaussian Discriminant Analysis is a learning algorithm based on a probabilistic assumption. This post will be math-based because of the nature of the algorithm’s details. However, I’ll …
beginningwithml.wordpress.com
https://medium.com/du-phan/gaussian-discriminant-analysis-and-logistic-regression-29a807c5b45
Gaussian Discriminant Analysis and Logistic Regression
There are many ways to classify machine learning algorithms: supervised/unsupervised, regression/classification,… . For myself, I prefer to distinguish between Discriminative model and Generative…
medium.com
| AE vs VAE (0) | 2020.04.08 |
|---|---|
| Mahalonobis Distance (0) | 2020.03.06 |
| non-degenerate Distribution (0) | 2020.03.04 |
| Infimum and supremum (0) | 2020.03.04 |
| Hadamard Product (0) | 2020.03.02 |
https://www.quora.com/What-is-a-non-degenerate-distribution-function
What is a non-degenerate distribution function?
Answer (1 of 2): What is a non-degenerate distribution function? For a probability distribution on the real numbers, the distribution function is the cumulative probabilities, i.e. F(x) = P(X \le x). There are two major kinds of distribution (and other min
www.quora.com
https://www.statisticshowto.datasciencecentral.com/degenerate-distribution/
Degenerate Distribution: Simple Definition & Examples - Statistics How To
What is a degenerate distribution? Plain English definition, formal definition and examples of uses. Statistics made simple!
www.statisticshowto.datasciencecentral.com
| Mahalonobis Distance (0) | 2020.03.06 |
|---|---|
| Gaussian Discriminant Analysis (0) | 2020.03.05 |
| Infimum and supremum (0) | 2020.03.04 |
| Hadamard Product (0) | 2020.03.02 |
| Cardinality (0) | 2020.02.28 |
https://en.wikipedia.org/wiki/Infimum_and_supremum
Infimum and supremum - Wikipedia
A set T of real numbers (hollow and filled circles), a subset S of T (filled circles), and the infimum of S. Note that for finite, totally ordered sets the infimum and the minimum are equal. A set A of real numbers (blue circles), a set of upper bounds of
en.wikipedia.org
https://www.youtube.com/watch?v=zIWKC-YR6r0
| Gaussian Discriminant Analysis (0) | 2020.03.05 |
|---|---|
| non-degenerate Distribution (0) | 2020.03.04 |
| Hadamard Product (0) | 2020.03.02 |
| Cardinality (0) | 2020.02.28 |
| Manifolds (0) | 2020.02.27 |
https://medium.com/linear-algebra/part-14-dot-and-hadamard-product-b7e0723b9133
Part 14 : Dot and Hadamard Product
Dot product of two vectors is very similar to matrix addition. The elements corresponding to same row and column are multiplied together…
medium.com
| non-degenerate Distribution (0) | 2020.03.04 |
|---|---|
| Infimum and supremum (0) | 2020.03.04 |
| Cardinality (0) | 2020.02.28 |
| Manifolds (0) | 2020.02.27 |
| diffeomorphism (0) | 2020.02.27 |
https://towardsdatascience.com/set-theory-cardinality-power-sets-bced69d8f248
Set Theory — Cardinality & Power Sets
Part III — The Intuition Responsible For Allocation Decisions
towardsdatascience.com
| Infimum and supremum (0) | 2020.03.04 |
|---|---|
| Hadamard Product (0) | 2020.03.02 |
| Manifolds (0) | 2020.02.27 |
| diffeomorphism (0) | 2020.02.27 |
| Flow-based Deep Generative Models (0) | 2020.02.25 |
https://towardsdatascience.com/manifolds-in-data-science-a-brief-overview-2e9dde9437e5
Manifolds in Data Science — A Brief Overview
Manifolds are an essential tool for representing data in higher dimensions. But what are manifolds, and how are they used?
towardsdatascience.com
| Hadamard Product (0) | 2020.03.02 |
|---|---|
| Cardinality (0) | 2020.02.28 |
| diffeomorphism (0) | 2020.02.27 |
| Flow-based Deep Generative Models (0) | 2020.02.25 |
| VAE (0) | 2020.02.24 |