Welcome to Entanglish, a Python library for calculating quantum entanglement
“Speak Quantum Friend and Enter” . Today, I uploaded to github my new software library called Entanglish (open source, under BSD license). Entanglish is a Pyt...
Home » You searched for Data Science Central
Search Results for: Data Science Central
Difference between Gradient Descent and Newton-Raphson
Below are some extracts from an interesting Quora discussion on this topic. Quotes: The gradient descent way: You look around your feet and no farther than a few meters f...
NLP vs. NLU: from Understanding a Language to Its Processing
As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change themselves. Simi...
Most Popular Content on DSC
We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is an attempt to put everything together in...
A/B testing in One Picture
A non-technical look at A/B testing, based on Dan Siroker & Pete Koomen’s book, A / B Testing, The Most Powerful Way to Turn Clicks Into Customers. Perhaps th...
Analyzing CDC Health Survey
Diving into CDC Behavioral Risk Factor data using Pivot Billions to learn what exercise behaviors are associated with improved health. Motivating yourself to go outside a...
From Infinite Matrices to New Integration Formula
This is another interesting problem, off-the-beaten-path. It ends up with a formula to compute the integral of a function, based on its derivatives solely. For simplici...
3 Types of Regression in One Picture
Interesting picture comparing linear, logistic and Poisson regression, found here. For more about regression, read our other articles on this subject, here. For other ML ...
Probability Cheat Sheet – Harvard University
Below is an extract of a 10-page cheat sheet about probability, compiled by William Chen (http://wzchen.com) and Joe Blitzstein, with contributions from Sebastian Chiu, Y...
Comparison of the Text Distance Metrics
Measuring the similarity between texts is a common task in many applications. It is useful in classic NLP fields like search, as well as in such far from NLP areas as med...