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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 Science Catechesis: A Systematic Teaching of the Science of Finding Revelations in Data
A catechesis is the systematic practice of teaching and, in this case, that teaching is about...
Six Lists of Lists for Data Scientists
Data sciences relies on a strong foundation of mathematics, statistics, and results visualization, most of...
Data Monetization: 30 percent of businesses will monetize data and information assets in 4 years
There are three data points that are driving the business discussion around big data:
1. Only 1% of...
Quotes of the Week: John Tukey
John Tukey (1915-2000) was an American mathematician and has been called the father of modern...
46 Critical Capabilities of a Data Science Driven Intelligence Platform
Data science is much more than just a singular computational process. Today, it’s a noun...
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...