Using a Schema to Construct a Metrics Regime
A schema is a conceptual framework. It can function as a lens through which to study data. When I was conducting research on workplace stress to do my graduate degree...
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#DevOps for Machine Learning (#ML / #AI)
Until very recently, most organizations have seen two distinct, non-overlapping work streams when building an AI enabled application: a development path and a data scienc...
Alternatives to Logistic Regression
Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent va...
Updated ggmap Tutorial!
Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address the Google Static...
Classification and Regression Trees
Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience ...
Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
image source – wikipedia Update Hello all, The first book is posted on data science central here, and the community group is here. Please join the community so you...
Degrees of Freedom and Sudoku
This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku. A lot of aspiring Data Scientists take courses on statistics...
The Challenges to Tackle Before You Start With AI
Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology�...
Taming 1.5 Billion Rows of "Big Apple” Data
Diving into the many underlying trends throughout the entire 1.5 Billion rows of NYC Taxi data with Pivot Billion The age of data has arrived. With it, more and more data...
Cross-Validation: Concept and Example in R
This article was written by Sondos Atwi. What is Cross-Validation? In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testi...