The Cocktail Guide v2.0
Revamped one of my earlier Tableau creations for submission to ‘Tableau Student Viz Contest‘. Posting here in case anyone’s interested in having a look.   Read more
Expected Value of the Diameter of a Tree
Description of the problem Gil Kalai asks the following problem: given a random tree on nn vertices asymptotically behaves like nn vertices by generating n=2n=2 to  Read more
Getting Started with Predictive Maintenance Models
This was originally posted on the Silicon Valley Data Science blog. In a previous post, we introduced an example of an IoT predictive maintenance problem. We framed the problem as one of estimating the remaining useful life (RUL) of in-service equipment, given some past operational history and historical run-to-failure data. Reading that... Read more
Top Deep Learning Projects
A list of popular github projects related to deep learning (ranked by stars automatically). Please update list.txt (via pull requests) Project Name Stars Description tensorflow 44154 Computation using data flow graphs for scalable machine learning caffe 15611 Caffe: a fast open framework for deep learning. neural-style 12491 Torch implementation... Read more
Descriptive Analysis of MLST Data for MRSA
During one of my summers, I had the opportunity to conduct some research on the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in vulnerable populations and examining US emergency department data and I thought this would be a pretty interesting topic to expand on for my thesis in light of the increasing concerns... Read more
What Makes a Good Data Visualization – a Data Scientist perspective
Data visualization has been a subject of many thousands of books, courses, and blogs. My course on data mining included a one-hour lecture on Data Visualization. However, since you, my reader, don’t have an hour to read this blog, here is a KDnuggets-sized summary of what makes a good data visualization... Read more
Exploratory Data Analysis of Tropical Storms in R
Exploratory Data Analysis of Tropical Storms in R The disastrous impact of recent hurricanes, Harvey and Irma, generated a large influx of data within the online community. I was curious about the history of hurricanes and tropical storms so I found a data set on data.world and started some basic Exploratory... Read more
Are Your Predictive Models like Broken Clocks?
A wise philosopher (or comedian) once said, “Even a broken clock is right twice a day.” That same statement might also apply to some predictive models. Since prediction is about the future (usually), then random chance (like broken clockwork) may allow our model to be right occasionally (just by accident). The... Read more
Catching up with Ryan Compton, Head of Applied Machine Learning at Clarifai
Okay. So, give us a little preview of the talk and the sort of the topics you’re hitting. Basically what it is, is over the course of the past twenty or thirty years, we’ve been having these problems where you have a computer, it’s connected to a network, suddenly... Read more
Five Best Practices in Healthcare Propensity Modeling
Editors note: This is the first post in a two-part series that discusses healthcare predictive and propensity modeling and selecting the optimal analytics partner to support your growth and engagement efforts. The second post in this series will share five critical predictive modeling questions to ask a prospective HCRM vendor. When... Read more