The Hamming distance between two sequences of symbols is the number of places in which they differ. For example, the…
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4 Distance Measures for Machine Learning
Distance measures play an important role in machine learning. They provide the foundation for many popular and effective machine learning…
Continue Reading4 Types of Distance Metrics in Machine Learning
Distance metrics are a key part of several machine learning algorithms. These distance metrics are used in both supervised and…
Continue ReadingA gentle introduction to Hamming codes
The previous post looked at how to choose five or six letters so that their Morse code representations are as…
Continue ReadingADFGVX cipher and Morse code separation
A century ago the German army used a field cipher that transmitted messages using only six letters: A, D, F,…
Continue ReadingHeart disease classifier using K-Nearest Neighbors Algorithm
Heart disease classifier using K-Nearest Neighbors AlgorithmNagesh Singh ChauhanBlockedUnblockFollowFollowingJul 1sourceI have written this post for the developers and assumes no…
Continue ReadingHow to measure distances in machine learning
Why do we need another type of distances?There are some situations where Euclidean distance will fail to give us the…
Continue ReadingCreating sea routes from the sea of AIS data.
Creating sea routes from the sea of AIS data. Alexei NovikovBlockedUnblockFollowFollowingMay 15Maritime routes are important characteristics of maritime transportation. Sometimes they…
Continue ReadingLevenshtein Distance in Python
What we need is a string similarity metric or a measure for the “distance” of strings. A string metric is…
Continue ReadingMachine learning for anomaly detection and condition monitoring
Machine learning for anomaly detection and condition monitoringA step-by-step tutorial from data import to model outputVegard FlovikBlockedUnblockFollowFollowingApr 23My previous article on…
Continue ReadingEarth mover’s distance
A sentence isn’t just a sequence of words: each word has its place, there’s an invisible underlying grammatical structure that…
Continue ReadingWord Distance between Word Embeddings with Weight
Therefore, Huang et al. proposed an improvement and named Supervised Word Mover’s Distance (S-WMD). Introduce to Supervised Word Mover’s Distance (S-WMD)Before…
Continue ReadingPlaying with Geometry/Spatial Data Types in MySQL
Playing with Geometry/Spatial Data Types in MySQLIn this tutorial, we are going to understand how to store and use spatial data…
Continue ReadingWho’s That Pokémon?
Who’s That Pokémon?Using Python to answer that age-old question. Yish LimBlockedUnblockFollowFollowingJan 11So I’ve been a lifelong Pokémon fan and a recently-converted…
Continue ReadingImportance of Distance Metrics in Machine Learning Modelling
Well yes, we just saw this formula above in this article while discussing “Pythagorean Theorem”. Euclidean distance formula can be…
Continue ReadingMap the solar system to a place near you –A NatGeo’s MARS inspired Shiny web app
So I went to try and understand what these coordinate systems actually are. No quick wins here. (Solar) Ecliptic coordinate…
Continue ReadingAngular Smart 404 Page
Here is the implementation of getThreshold method:Then if we still have any possible entry we sort the dictionary by the…
Continue ReadingRealigning the NHL with Math
Realigning the NHL with MathWhy Edmonton and Calgary Should Play in Different DivisionsJackson Blair TaylorBlockedUnblockFollowFollowingDec 3This is the best possible NHL…
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