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

Continue Reading# density

## 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…

Continue Reading## 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…

Continue Reading## 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)…

Continue Reading## Visualizing Musical Performance

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

Continue Reading## 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…

Continue Reading## Write Less, Explore More

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

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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,…

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