Book: Evaluating Machine Learning Models
Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and a...
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What is Regression Analysis?
Guest blog by Kevin Gray.. Kevin is president of Cannon Gray, a marketing science and analytics consultancy. Regression is arguably the workhorse of statistics. Despit...
t-SNE algo in R and Python, made with same dataset
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of ...
Big Data changed my life. It can change yours too!
Hi, my name is Brontobyte and this is my story of how I grew up from a Byte, to Megabyte, to Gigabyte, to Brontobyte. I was born possibly in 1956 to unknown parents at ...
How To Create A 360-Degree Customer View Using Data
How valuable would it be to know everything about your customer’s interactions with your competition? Creating a 360-degree customer view is considered the holy grail o...
Ten Simple Rules for Effective Statistical Practice
This article, written by Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, and Reid N, contains the following rules: Statistical Methods Should Enable Data to Answer Scienti...
Understanding and Selecting Recommenders
Summary: In this multi-part series we walk through the full landscape of Recommenders. In this article we cover business considerations as well as issues for Recommen...
27 Great Articles About Machine Learning Algorithms
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Deep Learning Cheat Sheet for Beginners
This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will he...
Introduction to ggplot2 — the grammar
There are several thousands of languages in the world and they all have in common that they are defined and explained by some set of rules. This set of rules is so called...