Die 100 am häufigsten verwendeten Wörter in diesem Buch.
2m
al
algorithm
approach
assume
bayesian
between
bound
called
case
class
classification
classifier
compression
consider
data
definition
different
dimension
distribution
empirical
equation
error
et
example
exists
expected
fact
feature
figure
first
fixed
following
framework
function
gaussian
generalization
given
however
hypotheses
hypothesis
idea
image
kernel
known
large
learning
least
let
linear
loss
machines
margin
matrix
measure
method
model
must
new
note
number
objects
obtain
order
output
pac
parameters
ph
point
possible
prior
probability
problem
pz
random
results
risk
sample
section
see
set
sign
size
space
strategy
support
term
theorem
thus
training
two
use
used
value
vc
vector
version
weight
xi
yi