EmmanuelleRieuf

This article on data visualization tools was written by Jessica Davis. She’s passionate about the practical use of business intelligence, predictive analytics, and big data for smarter… Read More »10 Dataviz Tools To Enhance Data Science

This article contains phrases taken from the machine learning and analysis world. Data scientists and algorithm engineers will feel more comfortable with reading it although… Read More »Detecting In-App Purchase Fraud with Machine Learning

This image comes from Xkcd, a webcomic of romance, sarcasm, math, and language. Created by Randall Munroe, he is a CNU graduate with a degree in physics. Before starting… Read More »Linear Regression in Astronomy: Cartoon

This article was written by Pallavi Poojary.  In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous… Read More »Data Science Career Opportunities: Your Guide To Unlocking Top Data Scientist Jobs

This articles was written by Andrej Karpathy. Andrej, PhD student at Stanford, is a Research Scientist at OpenAI working on Deep Learning, Generative Models and Reinforcement Learning. There’s something magical about… Read More »The Unreasonable Effectiveness of Recurrent Neural Networks

Most of us, unless we’re insurance actuaries or Wall Street quantitative analysts, have only a vague notion of algorithms and how they work. But they… Read More »‘Rogue Algorithms’ and the Dark Side of Big Data

This article was written by Joseph Rickert.  We all “know” that correlation does not imply causation, that unmeasured and unknown factors can confound a seemingly… Read More »How to find out if it's correlation or causation

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… Read More »Concise Visual Summary of Deep Learning Architectures