Originally posted onData Science Central Do you want to learn the history of data visualization? Or do you want to learn how to create more engaging visualizations and se...
Overview This is a project I’ve been working on for some time to help improve the missed opportunity rate (no-show rate) at all medical centers. It demonstrates how...
You might have read the story of a man who accidentally ‘deleted his entire company’ with one line of bad code. If not, you can read it here. By accidentall...
Summary: Some observations about new major trends and directions in data science drawn from the Strata+Hadoop conference in San Jose last week. I’m fresh off my annua...
This is a nice collection of free eBooks to learn the ropes on topics covering Hadoop, machine learning, Spark, analytics, and more. The Little Bee series of books provid...
It’s often thought that loyalty programs are designed to reward customers with special offers, treats, and discounts in the hope of retaining their business and encoura...
Data is almost everywhere. The amount of digital data that currently exists is now growing at a rapid pace. The number is doubling every two years and it is completely tr...
The Four Stages of a Chatbot’s Business Intelligence Evolution I see four stages in the progression of chatbot-like AIs interacting with business systems for the purpos...
Many social media, like Twitter, Facebook and etc, are evolving to become a source of information for people to scrape varied kinds of data, since microblogs on ...
A data scientist is an umbrella term that describes people whose main responsibility is leveraging data to help other people (or machines) making more informed decisions....