Recommenders: Packaged Solutions or Home Grown
Summary: There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms. It’s also possible to code your own. ...
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Predicting Michelin Stars from Yelp Reviews in San Francisco
Contributed by Tyler Knutson. He enrolled in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between July 5th to Septembe...
There Are Lies, Damn Lies, And Journalism
It has become clear over the last few months that mainstream media on both sides are stretching the truth, if not reporting fake stories first published in outlets such a...
Use Neural Networks to Find the Best Words to Title Your eBook
Contributed by Bernard Ong. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23r...
Attribution & Marketing Strategy – Your marketing $ at work
This was Contributed by Harish Mohan. He is a Sr Manager, Global Marketing Analytics & Data Science at Intuit. Marketing attribution is something that receives much ...
The Periodic Table Of AI
This article was written by Kris Hammond. This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and develop m...
5 Types of Recommenders
Summary: There are five basic styles of recommenders differentiated mostly by their core algorithms. You need to understand what’s going on inside the box in order ...
Logistic Regression using python
This article was posted by Arpan Gupta (Indian Institute of Technology). Let’s learn from a precise demo on Fitting Logistic Regression on Titanic Data Set for Machine ...
Learn Support Vector Machine (SVM) from Scratch in R
This tutorial describes theory and practical application of Support Vector Machines (SVM) with R code. It’s a popular supervised learning algorithm (i.e. classify o...
Crosswave Differential Event Model
I have been writing about the Crosswave Differential Algorithm for a number of years. I described in previous blogs how the algorithm emerged almost by accident while I w...