New Book: Creating Value with Social Media Analytics
My new book may be of interest to some members. Kindle edition: https://www.amazon.com/Creating-Value-Social-Media-Analytics-ebook/…; Paperback: https://www.am...
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Reinforcement Learning – Reward for Learning
Reinforcement Learning (RL) – 3rd / last post in this sub series “Machine Learning Type” under master series “Machine Learning Explained“. Next sub series “...
Reticulating Python and R — the American Community Survey Data Dictionary to Meta Data III.
Data Dictionary to Meta Data III is the third and final blog devoted to demonstrating the automation of meta data creation for the American Community Survey 2012-2016 hou...
What Does GDPR Mean For Your Business?
The European General Data Protection Regulations (GDPR) will come into force on May 25, 2018. These regulations will have a significant impact on existing data collection...
How Machines Are Learning From Customers And Predicting Human Behavior
Customers leave behind an incomprehensible amount of data while they go about shopping. Making sense of that data and reacting in real time are the two things that will k...
Map plots created with R and ggmap
In my previous tutorial we created heatmaps of Seattle 911 call volume by various time periods and groupings. The analysis was based on a dataset which provides S...
Data Science meets System Dynamics
Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one compon...
Data Engineer and Business Analyst Might be the Best Data Science Opportunities
Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher. If you still want to be de...
Implementing a Soft-Margin Kernelized Support Vector Machine Binary Classifier with Quadratic Programming in R and Python
In this article, couple of implementations of the support vector machine binary classifier with quadratic programming libraries (in R and python respectively) and applica...
How Data Scientists Spend their Time – Nice Cartoon
Data scientists spend 80% of their time preparing and cleaning their data. They spend the other 20% of their time complaining about preparing and cleaning their data. Thi...