Wednesday, July 24, 2019

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

FIELD NOTE: Definition – Data Driven

During a spirited debate over the meaning of data driven, a colleague ask me for...

Big Data: Conventional Definitions and Some Statistics (big numbers for big data)

Definition: "Extremely scalable analytics - analyzing petabytes of structured and unstructured data at high velocity." Definition:...

Architects of Intelligence

The AI-hype would have you believing that we'll soon be enslaved by super-intelligent beings or...

Cognitive Computing – It Emergent not Design

I recently read an article “Building Your Cognitive Technology” byTom Davenport. What I find of...

Big Data – Exploring the Darkest Places on Earth

A lot of folks know that I have done some interesting things in my life. From...

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...