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. Despite its… Read More »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. Despite its… Read More »What is Regression Analysis?
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique… Read More »t-SNE algo in R and Python, made with same dataset
The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is… Read More »How to Boost Your Career in Big Data and Analytics
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… Read More »Big Data changed my life. It can change yours too!
This could a little late given that we have already embarked upon a new year. But it could be worthwhile looking back for a moment…… Read More »Top 10 AI events of 2016
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… Read More »How To Create A 360-Degree Customer View Using Data
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… Read More »Ten Simple Rules for Effective Statistical Practice
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… Read More »Understanding and Selecting Recommenders
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »27 Great Articles About Machine Learning Algorithms
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 help the… Read More »Deep Learning Cheat Sheet for Beginners