Tuesday, September 18, 2018

Heilmeier Catechism: Nine Questions To Develop A Meaningful Data Science Project

As director of ARPA in the 1970’s, George H. Heilmeier developed a set of questions that he expected every proposal for a new research...

Artificial Intelligence

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AI IMAGINEERING

FIELD NOTES

FIELD NOTE: Your Math is All Wrong…

At the request of a friend, I recently reviewed the article "Your Math Is All Wrong: Flipping The 80/20 Rule For Analytics” by John...

FIELD NOTE: Answering One of the Most Asked Question of Data...

Gregory Piatetsky and Shashank Lyer have begun to answer one of the most asked question facing data science practitioners: Which tools work with which...

Global Terrorism Database (GTDb)

I have built a prototype database of terrorists and their known associates, inferred associates, cutouts, and ghosts (AKA Global Terrorism Database). Using the Deep...

RANDOM

Quotes of the Week: John Tukey

John Tukey (1915-2000) was an American mathematician and has been called the father of modern...

Objective-Based Data Monetization: A Enterprise Approach to Data Science (EDS)

Across all industries, companies are looking to Data Science for ways to grow revenue, improve...

The Most Important Question for a Data Scientist starts with “HOW”

I am taking part in a "Terrorism and Terrorist Threat" course being offered by Dr....

Cybernetic Historical Debris Fields – Big Data’s Proof of Life

How did Robert Ballard find the Titanic? Most people think it was by looking for...

New Twitter Feed: @DSI2013

Data Scientist Insights has a new dedicated twitter feed, @DSI2013. With all the data science activity,...

DATA SCIENCES

Socio-Psycho Analyses for Open Source Intelligence (OSINT)

Open Source Intelligence (OSINT) can use sophisticated Sociological and Psychological (Socio-Psycho) factors in order to positively identify Key Opinion Leaders (KOL). This animated presentation demonstrates just...

R LANGUAGE

Six Lists of Lists for Data Scientists

Data sciences relies on a strong foundation of mathematics, statistics, and results visualization, most of which are available through R statistical programming ecosystems.  To...

BOOK REVIEWS

INFOGRAPHICS

VISUALIZATION

Six Lists of Lists for Data Scientists

Data sciences relies on a strong foundation of mathematics, statistics, and results visualization, most of which are available through R statistical programming ecosystems.  To...

PRACTICE & METHODOLOGY

Using Economic Value to Reduce Artificial Intelligence Development Risks

Most enterprise artificial intelligence projects fail. They suffer from a fundamental flaw that prevents them from achieving their stated business goals. The flaw is...