August 2020
Intermediate to advanced
392 pages
9h 54m
English
Symbols
-1 value, 56
A
accuracy, improving, 255–256
actions, simulating, 74–83
activation functions, 314–315, 318
adjacency lists, 56–57
adversarial problems, 72–73
adversarial searches, 72–89
algorithms for, 88–89
alpha-beta pruning, 84–88
choosing best future, 74–84
min-max search, 74–84
optimizing by exploring sensible paths, 84–88
simple adversarial problems, 72–73
simulating actions, 74–84
agents with AI algorithms, 17–18
agriculture, algorithms for, 14–15
AI (artificial intelligence)
AI algorithms
biology-inspired, 12–13
deep learning, 13–14
for agriculture, 14–15
for AI agents, 17–19
for art, 19–20
for banking, 15
for cybersecurity, 15–16
for games, 17–18
for health care, 16
for logistics, 17
for optimization, 17
for optimizing ...