As a tool, machine learning can accelerate insights in data for more efficient manufacturing and drive innovation
Passing the three FDA stage goals
Part two: the bad
We owe a debt of gratitude to Tippett and other pioneers who put ‘engineering’ into quality engineering.
There’s a Goldilocks balance with the number of predictors to include
What kind of review would you give the Bates Motel?
Part one: the good
All about data—and genomes
Procedure doesn’t allow nonconforming units in the sample, has superior detection capabilities
In the politically correct world of PPM defective, MIL-STD-105 is a misunderstood and misapplied specification
We keep trying to find the needle in a haystack
It's all about manufacturing.
What happens when we cannot write models for the data?
Out of the echo chamber
React less, lead better, improve more
We should make variation accessible to a wider spectrum of professionals
You can’t concentrate on what your data is saying if you’re too busy wrestling with it
Survey reveals what people do, eat, and argue about
To make sense of any data set, start an analysis with a process behavior chart
Measuring and predicting hurricanes
