Discretizing 2D Images Into Polygonal and Point ModelsSimplifying complex images into a simple data formatTim ChinBlockedUnblockFollowFollowingApr 21The real world is all curvy…

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## ‘Football Weather’-Diving Into The Effects of Weather on NFL QB Performance

Using plotly express, in just one line of code we can visualize all these variables together:None / Light Rain /…

Continue Reading## Visualising Streaming Geospatial Data

Visualising Streaming Geospatial DataJames GrahamBlockedUnblockFollowFollowingApr 18Video of visualizing high-risk credit card transactions on a mapI recently worked on a project…

Continue Reading## Sampling time series data sets

Sampling time series data setsDatylonBlockedUnblockFollowFollowingApr 17An SQL implementation of the ‘Largest Triangle Three Bucket’ algorithmby Peter Coppens, Co-Founder & CTO @…

Continue Reading## (Robot) data scientists as a service

(Robot) data scientists as a serviceAutomating data science with symbolic regression and probabilistic programming. Jacopo TagliabueBlockedUnblockFollowFollowingApr 12How to be lazy (data)…

Continue Reading## Insert Yourself Into Any Picture With C#, Dlib, and OpenCV

Here’s the picture I took:Just kidding!That’s actually Bradley Cooper front and center. I used a C# ‘face-swapping’ app to superimpose…

Continue Reading## Google Trends: How to acquire daily data for broad time frames

Google Trends: How to acquire daily data for broad time framesFranz B. BlockedUnblockFollowFollowingOct 30, 20181. Google Trends dataGoogle allows all users to…

Continue Reading## Machine Learning Algorithms from the Easy Side (Part 2)

Machine Learning Algorithms from the Easy Side (Part 2)Didier ItembeBlockedUnblockFollowFollowingMar 13In the first part, we explained what is ML and some…

Continue Reading## LSTM-based Handwriting Recognition by Google

This story will discuss about Fast Multi-language LSTM-based Online Handwriting Recognition (Carbune et al. , 2019) and the following are…

Continue Reading## Two hours later and still running? How to keep your sklearn.fit under control.

The inputs of the time function are exactly what’s needed to run the fit (that is the algo itself, and…

Continue Reading## Why Do Arrays Start With Index 0?

Wouldn’t be array[1] a more obvious choice for the first item?Photo by Agence Producteurs Locaux Damien Kühn on UnsplashFirst, it’s worth…

Continue Reading## Unsupervised Machine Learning: Clustering Analysis

Unsupervised Machine Learning: Clustering AnalysisVictor RomanBlockedUnblockFollowFollowingMar 6Introduction to Unsupervised LearningUp to know, we have explored just supervised Machine Learning algorithms…

Continue Reading## 5 Ways to Detect Outliers/Anomalies That Every Data Scientist Should Know (Python Code)

5 Ways to Detect Outliers/Anomalies That Every Data Scientist Should Know (Python Code)Detecting Anomalies is critical to any business either by…

Continue Reading## Sharing secrets with polynomials

This post will present a couple ways to share secrets using polynomials. We have a group of n people who want…

Continue Reading## How do boosting algorithms work?

How do boosting algorithms work?Sertac OzkerBlockedUnblockFollowFollowingFeb 26A visual guideIf you’re following Kaggle competitions, you must have noticed that boosting algorithms…

Continue Reading## Understanding Variance and Covariance

Consider I have three weights that are exactly the same and I want to balance them. for that, I need…

Continue Reading## Regression: Kernel and Nearest Neighbor Approach

Regression: Kernel and Nearest Neighbor ApproachIn this article, I will talk about the Kernel and Nearest Neighbor Approach which forms a…

Continue Reading## Empower Eclipse’s Extension-points with Guice

Empower Eclipse’s Extension-points with GuiceHoracio Hoyos RodriguezBlockedUnblockFollowFollowingFeb 20Eclipse Equinox is an implementation of the OSGi core specification that allows Eclipse applications…

Continue Reading## The point at infinity

As I explained in an earlier post, a first pass at the definition of an elliptic curve is the set…

Continue Reading## The Anatomy of K-means

There is no universal answer for this, and although the optimal number of centroids or clusters is not known a…

Continue Reading## Profiling my Favorite Songs on Spotify through clustering

We could group songs with similar characteristics together, and profile each cluster. One type of clustering method is K-means Clustering…

Continue Reading## Clustering — Unsupervised Machine Learning

etc, etc. The way unsupervised machine learning, more specifically K-means, works is by clustering similar data points together in high…

Continue Reading## Just how good is Novak Djokovic?

Just how good is Novak Djokovic?A Data Analyst-Tennis Player breakdown of the events that conspired at the Australian Open Finals 2019Rakesh…

Continue Reading## K-Means Clustering

Unfortunately, no we can’t. Algorithms have a hard time understanding text data so we need to transform the data into…

Continue Reading## Spectral clustering

Spectral clusteringThe intuition and math behind how it works!Neerja DoshiBlockedUnblockFollowFollowingFeb 4What is clustering?Clustering is a widely used unsupervised learning method. The…

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