machine-learning × 391
neural-networks × 186
nlp × 178
optimization × 136
svm × 134
deep-learning × 128
rbm × 121
python × 97
bayesian × 69
logistic-regression × 57
data × 53
autoencoder × 47
dbn × 42
implementation × 39
feature-extraction × 38
kernel × 38
text-mining × 38
probability × 37
references × 36
regularization × 36
software × 36
algorithms × 35
deep-belief-networks × 33
training × 32
extraction × 31
java × 31
free × 28
k-means × 28
theano × 28
supervised-learning × 27
dirichlet × 26
visualization × 25
convolution × 23
matrix × 23
modeling × 22
neural × 22
parsing × 22
practical-advice × 20
state-of-the-art × 20
gaussian-distribution × 19
high-dimensional × 17
books × 16
hyperparameters × 16
stochastic-gradient × 16
video × 16
hashing × 15
l1 × 15
discriminative × 14
distance × 14
papers × 14
nearest-neighbors × 13
conditional × 12
generative × 12
hessian-free × 12
paper-understanding × 12
conferences × 11
libraries × 11
mapreduce × 11
kernel-trick × 10
monte-carlo × 10
summarization × 10
autoencoders × 9
evolutionary-methods × 8
errors × 7
introduction × 7
open-ended × 7
pretraining × 7
community × 6
nips × 6
parallelism × 6
textbooks × 6
big-picture × 5
distance-based-learning × 5
icml × 5
local-minima × 5
rkhs × 5
taggers × 5
conjugate-gradient × 4
hessian × 4
non-parametric × 4
pylearn × 4
pylearn2 × 4
starting × 4
gmm × 3
abstractions × 2
blogs × 2
definition × 2
graphlab × 2
processes × 2
suggestions × 2
hilbert × 1
noob × 1
nullspace × 1
torch × 1