This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
The number of R packages associated cool new tricks available continues to grow every month. To understand the current state of R packages on CRAN, I ran some code pro...
Text analysis, as a whole, is an emerging field of study. Fields such as Marketing, Product Management, Academia, and Governance are already leveraging the process o...
In this article I explore some of the key concepts of data quality management and how to build a strategy for continuous improvement. I won’t be covering every possible...
This article was written by Sahil Singla. Introduction: In the max-pooling layer (used in almost all state of the art vision tasks and even some NLP tasks) you throw away...
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Introduction “Limited-Service Restaurants” (LSRs) is how the restaurant industry refers collectively to fast food and fast-casual dining establishments. Marketers w...
Summary: This is the second in our “Off the Beaten Path” series looking at innovators in machine learning who have elected strategies and methods outside of the mains...
We tried to do XYZ. Did it make a difference?” Whether you are in the for-profit world or the not-for profit world, this is a very basic question that many people try t...
Machine learning is an application of artificial intelligence that gives a system an ability to automatically learn and improve from experiences without being explicitly ...