October 2021
Intermediate to advanced
344 pages
8h 51m
English
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INDEX
A
Adadelta, 299
Adagrad, 299
Adam, 300
affine transformation, 128
arithmetic mean, 70
AutoML, 283
B
backpropagation, 244
algorithm, 256
by hand
code, 249
derivatives, 247
computational graph, 267
error, 255
fully connected network, 255
implementation, 260
loss, 255
symbol-to-number, 268
symbol-to-symbol, 268
batch training, 282
evidence, 59
likelihood, 59
Naive Bayes classifier, 62
independence assumption, 63
posterior probability, 59
prior probability, 60
uninformed prior, 62
updating the prior, 61
Bayes, Thomas, 59
beta distribution, 53
binomial function, 47
birthday paradox, 26
block matrix, 125
box plot, 80
fliers, 82
whiskers, 82
C
calculus
derivative
constant, 167
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.