Introduction to Anomaly Detection
In this article, Data Scientist Pramit Choudhary provides an introduction to both statistical and machine learning-based approaches to anomaly detection in Python. Introd...
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Matplotlib Cheat Sheet
This Python cheat sheet was produced by DataCamp. Click on the image to zoom in. The original, published here, is available as a PDF document. The translation from PDF to...
The ROI of Machine Learning in Business – Infographics
This infographic comes from TechEmergence. TechEmergence is a market research firm specializing in the applications and implications of artificial intelligence/machine ...
“Multicollinearity” a Problem or an Opportunity?
Multicollinearity (Collinearity) is not a new term especially when dealing with multiple regression models. This phenomenon of relationship in between one response variab...
Most cited deep learning papers
This is a curated list of the most cited deep learning papers (since 2012) posted by Terry Taewoong Um. Source for picture: What is deep learning and how does it work? ...
Business Model Transformation and What it Means to the Data Industry
I recently read an MIT Sloan Management Review article by Clayton Christensen’s recent book titled “The Hard Truth About Business Model Innovations.” While the art...
Exclusive Tutorial on Data Manipulation with R (50 Examples)
It’s a complete tutorial on data wrangling or manipulation with R. This tutorial covers one of the most powerful R package for data wrangling i.e. dplyr. This packa...
Useful R Packages that Aligns with The CRISP DM Methodology
As we all know CRISP DM stands for Cross Industry Standard Process for Data Mining is a process model that outlines the most common approach to tackle data driven problem...
5 Simple Ways Hotels Can Use Data To Increase Revenue
In 2017, it’s clear that the hospitality industry needs to prepare for even more disruptions that will unfold over the coming year. Airbnb, OTAs, start-ups, big data co...
Random Forests explained intuitively
Random Forests algorithm has always fascinated me. I like how this algorithm can be easily explained to anyone without much hassle. One quick example, I use very frequent...