5 books
—
8 voters
Machine Learning Books
Showing 1-50 of 1,939

by (shelved 239 times as machine-learning)
avg rating 4.55 — 2,742 ratings — published 2017

by (shelved 214 times as machine-learning)
avg rating 4.32 — 1,889 ratings — published

by (shelved 193 times as machine-learning)
avg rating 4.44 — 2,084 ratings — published 2016

by (shelved 158 times as machine-learning)
avg rating 4.43 — 1,874 ratings — published 2001

by (shelved 122 times as machine-learning)
avg rating 4.59 — 2,308 ratings — published 2013

by (shelved 119 times as machine-learning)
avg rating 4.34 — 521 ratings — published

by (shelved 116 times as machine-learning)
avg rating 4.25 — 1,392 ratings — published

by (shelved 94 times as machine-learning)
avg rating 4.57 — 1,374 ratings — published 2017

by (shelved 93 times as machine-learning)
avg rating 4.25 — 756 ratings — published 2015

by (shelved 77 times as machine-learning)
avg rating 4.07 — 853 ratings — published 1986

by (shelved 77 times as machine-learning)
avg rating 4.54 — 797 ratings — published

by (shelved 71 times as machine-learning)
avg rating 3.74 — 6,396 ratings — published 2015

by (shelved 71 times as machine-learning)
avg rating 4.52 — 487 ratings — published 2002

by (shelved 70 times as machine-learning)
avg rating 4.47 — 924 ratings — published 2022

by (shelved 68 times as machine-learning)
avg rating 4.20 — 4,401 ratings — published 1994

by (shelved 64 times as machine-learning)
avg rating 4.34 — 589 ratings — published 2015

by (shelved 61 times as machine-learning)
avg rating 4.33 — 230 ratings — published

by (shelved 59 times as machine-learning)
avg rating 4.10 — 193 ratings — published 2012

by (shelved 52 times as machine-learning)
avg rating 4.21 — 131 ratings — published 2014

by (shelved 51 times as machine-learning)
avg rating 4.40 — 436 ratings — published 2012

by (shelved 50 times as machine-learning)
avg rating 4.30 — 416 ratings — published

by (shelved 36 times as machine-learning)
avg rating 3.90 — 784 ratings — published 1999

by (shelved 36 times as machine-learning)
avg rating 4.19 — 257 ratings — published 2009

by (shelved 35 times as machine-learning)
avg rating 5.00 — 49 ratings — published

by (shelved 35 times as machine-learning)
avg rating 4.16 — 267 ratings — published

by (shelved 35 times as machine-learning)
avg rating 4.34 — 4,625 ratings — published 2020

by (shelved 35 times as machine-learning)
avg rating 4.58 — 448 ratings — published 2013

by (shelved 34 times as machine-learning)
avg rating 4.24 — 256 ratings — published

by (shelved 34 times as machine-learning)
avg rating 3.73 — 407 ratings — published 2012

by (shelved 33 times as machine-learning)
avg rating 4.07 — 1,457 ratings — published 2002

by (shelved 32 times as machine-learning)
avg rating 4.32 — 142 ratings — published

by (shelved 30 times as machine-learning)
avg rating 4.17 — 2,420 ratings — published 2011

by (shelved 29 times as machine-learning)
avg rating 3.78 — 240 ratings — published 2011

by (shelved 28 times as machine-learning)
avg rating 4.30 — 246 ratings — published

by (shelved 28 times as machine-learning)
avg rating 4.17 — 108 ratings — published 2005

by (shelved 27 times as machine-learning)
avg rating 3.91 — 1,129 ratings — published 2015

by (shelved 27 times as machine-learning)
avg rating 4.40 — 339 ratings — published 2013

by (shelved 27 times as machine-learning)
avg rating 4.05 — 388 ratings — published 1973

by (shelved 26 times as machine-learning)
avg rating 3.85 — 20,555 ratings — published 2014

by (shelved 25 times as machine-learning)
avg rating 4.40 — 259 ratings — published

by (shelved 24 times as machine-learning)
avg rating 4.35 — 695 ratings — published 2016

by (shelved 24 times as machine-learning)
avg rating 4.21 — 94 ratings — published

by (shelved 23 times as machine-learning)
avg rating 4.21 — 536 ratings — published 1995

by (shelved 23 times as machine-learning)
avg rating 4.35 — 246 ratings — published 2011

by (shelved 22 times as machine-learning)
avg rating 4.38 — 754 ratings — published 2024

by (shelved 22 times as machine-learning)
avg rating 4.54 — 52 ratings — published

by (shelved 22 times as machine-learning)
avg rating 3.62 — 1,061 ratings — published 2016

by (shelved 22 times as machine-learning)
avg rating 4.26 — 388 ratings — published 2003

by (shelved 22 times as machine-learning)
avg rating 4.13 — 2,604 ratings — published 2013

by (shelved 22 times as machine-learning)
avg rating 4.11 — 170 ratings — published 1996

“The Soviets had ... built an early warning radar system with computer linkages using a primitive kind of AI code-named Oko. On September 26, 1983, ... the system malfunctioned and reported 5 incoming ICBMs from the United States. Oko alarms sounded and the computer screen flashed "LAUNCH." Under the protocols, the "LAUNCH" display was not a warning but a computer-generated order to retaliate.
Lieutenant Colonel Stanislov Petrov of the Soviet Air Defense Forces saw the computer order and had to choose immediately between treating the order as a computer malfunction or alerting to senior officers, who would likely commence a counterattack. Petrov was Oko's codeveloper and knew the system made mistakes. He also estimated that if the attack were real, the U.S. would use far more than 5 missiles. Petrov was right. The computer had misread the sun's reflection off nearby clouds as incoming missiles.”
― MoneyGPT: AI and the Threat to the Global Economy
Lieutenant Colonel Stanislov Petrov of the Soviet Air Defense Forces saw the computer order and had to choose immediately between treating the order as a computer malfunction or alerting to senior officers, who would likely commence a counterattack. Petrov was Oko's codeveloper and knew the system made mistakes. He also estimated that if the attack were real, the U.S. would use far more than 5 missiles. Petrov was right. The computer had misread the sun's reflection off nearby clouds as incoming missiles.”
― MoneyGPT: AI and the Threat to the Global Economy