Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove mor...
There are dozens of different hypothesis tests, so choosing one can be a little overwhelming. The good news is that one of the more popular tests will usually do the tric...
Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent v...
Imagine you are a company selling a fast-moving consumer good in the market. Let’s assume that the customer would follow the given journey to make the final purchase: ...
Summary: If you want to understand the promise of AI/ML in healthcare you need to see it through the eyes of physicians, the ultimate users. Turns out these folks aren�...
Nothing strikes terror into the hearts of humans more than the idea of an intelligent robot gone bad. The fear is that a robot can acquire the ability to learn and adap...
In this article, we will see how we can implement a simple customer churn model that is built by using Azure Machine Learning studio. This article will give us a starting...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning profession...