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...
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...
