Page 121 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat

114 Index

Quality Payment Program, 19 sophisticated algorithm, 75
quality trilogy, 84 SPI see schedule performance index (SPI)
spirit of data‐driven, 43, 44
randomization, 37 “statistical generalization,” 35–37
real‐time indicators, 15 statistical learning, recent technical advances
“recursive partitioning,” 100 in, 100
Redman, 17, 19, 31, 55 statistical methods, 39
regression‐based method, 100 statistics and data science, 1
repetitive activity, 83 SWOTs and strategic analysis, 13–14
from craft to, first industrial revolution, 84
rigged decisions, 49–51 Tadiran, 21
Robertses, Julia, 12 Taguchi, Genichi, 79
“roll your own” exercise, data science, 56–58 Taylor system, 84
rope exercise, data science, 55–56 Tom’s plot of meeting date and time data,
Rosling, Hans, 34 56–58
Torniai, Carlo, 74
"sample selection‐bias," 37 training data, 36
sampling bias, 36, 37 transportability, 37
schedule performance index (SPI), 15 Trump, Donald, 9, 10
scientific generalization, 11 Tufte, Edward, 31
scope creep, 19 Tukey, John W., 87, 88, 99
Scots, 23 Tversky, Amos, 51
scrub, 28
seasoned data scientist, 3 unstructured data, 93
security, to data, 68 “use with caution” category, 28, 29
“selective attention,” 23
Shannon, Claude, 94 validation sampling, 30
Shewhart, Walter, 78, 84 values, 50
Silver, Nate, 9 variability, identify Sources of, 22–23
soft data, 35, 93 Varian, Hal, 1
context and, 21–22 visualization, 34
software development manager, 37, 38 voice‐activated elevator, 23