# density

## What are Generative Models and GANs? The Magic of Computer Vision

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce…

## A Gentle Introduction to Probability Density Estimation

Probability density is the relationship between observations and their probability. Some outcomes of a random variable will have low probability…

## Demystifying Tensorflow Time Series: Local Linear Trend

Tensorflow time series uses a mean-field variational family for q(z). A mean-field family is a restriction on the relationship among…

## DBSCAN Algorithm: Complete Guide and Application with Python Scikit-Learn

Below are the 2 steps —Density at a point P: Number of points within a circle of Radius Eps (ϵ)…

## Visualizing Musical Performance

Visualizing Musical PerformanceD. Ryan MillerBlockedUnblockFollowFollowingMay 25As a musician and a data scientist, I have been intrigued by the thought of…

## A Hitchhiker’s Guide to Mixture Density Networks

Given a vector x of inputs (product attributes, customer, …, you name it again), we wish to predict y (price, website…

## Write Less, Explore More

In order to answer this you need to balance the information density with the meaning density of your graphic. The…

## Visualizing bike mobility in London using interactive maps and animations

To create a . mp4 file, try\$ ffmpeg -r 10 -i frames/frame_%05d. png -c:v libx264 -vf fps=25 -crf 17 -pix_fmt yuv420p…

## Wiggly Distributions and Nonparametrics

And then, muuuuuch more speculatively, let’s talk about why it might be bad for a non-parametric estimator. Scenario One: Timing…

## High Density Region Estimation

The goal is to use KernelML to efficiently find the regions of highest density for an N-dimensional dataset.My approach to…

## High Density Region Estimation with KernelML

The goal is to use KernelML to efficiently find the regions of highest density for an N-dimensional dataset.My approach to…

## Classification — Linear Discriminant Analysis

Then, Bayes’ theorem states:Bayes’ theorem for classificationThe equation above can simply be abbreviated to:Abbreviated Bayes’ theorem for classificationHopefully, this makes…

## Avoiding Parking Tickets in San Francisco Using Data Analytics

Avoiding Parking Tickets in San Francisco Using Data AnalyticsThis is a short(er) write up that summarizes and expands upon findings…

## Local Outlier Factor for Anomaly Detection

A large k, however, can miss local outliers.The density of the red point to its nearest neighbors is not different…

## Is Density Your Destiny?

It’s often better to play to your strengths, after all.Likely, when you think of a city that has population density,…