Go Ahead and Automate Jobs
Machine learning has the ability to automate a lot of jobs in the future. It is very easy to talk about this automation when it isn’t your job that will be automate...
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Ecology of Metrics
Although I deal with many different types of metrics, I believe they can be generally classified as follows: 1) time use; 2) alignment; 3) production; 4) performance; 5) ...
Mathematical Olympiads for Undergrad Students
Mathematical Olympiads are popular among high school students. However, there is nothing similar for college students, except maybe IMC. Even IMC is not popular. It focu...
Apache Hadoop Admin Tips and Tricks
In this post I will share some tips I learned after using the Apache Hadoop environment for some years, and doing many many workshops and courses. The information here ...
Data Science for Internet of Things – The Big Picture
This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal) We ad...
The First Things you Should Learn as a Data Scientist – Not what you Think
The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a f...
Are YOU the Outlier?
AI and machine learning are everywhere. Most decisions affecting every aspect of our lives are being made based on anomalies, classifications, and predictions. Even gover...
20 Questions to Ask Prior to Starting Data Analysis
It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving i...
Poker, Probability, Monte Carlo, and R
My daughter just started a business analytics Master’s program. For the probability sequence of the core statistics course, one of her assignments is to calculate t...
Black Hat Data Science
Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics...