Concise Visual Summary of Deep Learning Architectures
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all th...
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What Happens in 60-Seconds Online? – Infographics
There are a lot of things that can happen in just one minute, just ask the distraught owner of the Shelby Mustang GT 500 who was on the list of cars targeted by Randall �...
Shopper Marketing -Infographic
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing. Shopper marketing fo...
Generalized Dynamical Machine Learning
In this year of Rudolf Kalman’s demise, this article is dedicated to his memory. We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream ...
NYC Taxi Riders' Tipping Behavior Analysis
Contributed by Aiko Liu. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is ba...
Tracking migration patterns through Eastern and Southern Europe with Shiny
Contributed by Diego De Lazzari. He is currently in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to Septemb...
The current state of machine intelligence 3.0
This article was written by Shivon Zilis and James Cham. Watching the appeal and applications of machine intelligence expand: Almost a year ago, we published our now...
Machine Learning: what it means and why it is the future of growth
We are living in the era of technological transformation that is bringing about changes in the way we take decisions. As big data is becoming pervasive across all the ind...
Building an end-end search engine
“Information is the oil of the 21st century, and analytics is the combustion engine” Peter Sondergaard, SVP, Gartner Research In analytics, we retrieve infor...
TUPAQ – Automating Model Search for Large Scale Machine Learning
Simplifying and automating machine learning processes and techniques – that depend on large-scale, distributed datasets to achieve high statistical performance R...