Saturday, November 27, 2021

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...

AI IMAGRY

RANDOM

Data Visualization – Lessons Based on Stephen Few

Edward Tufte's principle point in data visualization is to above all else - show the...

Data Valuation: Seven Laws of Data Science

I was re-reading the paper "Measuring The Value Of Information: An Asset Valuation Approach," by...

FIELD NOTE: What Makes Big Data Big – Some Mathematics Behind Its Quantification

Heads Up - This is a stream of consciousness! Please be patient with me while I...

Coopetition – A Comparison of Data Analytics & Data Sciences

There is a lot of discussion around how data sciences and data analytics differ, from...

A Brief History Of Data Science

This brief history of data science is an updated version of Gil Press's "A Very...

BOOK REVIEWS

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...

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...