machine-learning × 391
neural-networks × 186
nlp × 178
clustering × 140
optimization × 136
svm × 134
deep-learning × 128
python × 97
dataset × 76
bayesian × 69
data-mining × 64
logistic-regression × 57
data × 53
topic-models × 49
unsupervised-learning × 40
implementation × 39
feature-extraction × 38
kernel × 38
sparse × 38
evaluation × 37
probability × 37
references × 36
regularization × 36
software × 36
algorithms × 35
training × 32
free × 28
k-means × 28
theano × 28
supervised-learning × 27
dirichlet × 26
visualization × 25
matrix × 23
modeling × 22
parsing × 22
practical-advice × 20
state-of-the-art × 20
high-dimensional × 17
books × 16
hyperparameters × 16
stochastic-gradient × 16
video × 16
l1 × 15
discriminative × 14
distance × 14
papers × 14
code × 13
nearest-neighbors × 13
comparison × 12
conditional × 12
generative × 12
hessian-free × 12
sparsity × 12
applications × 11
conferences × 11
libraries × 11
mapreduce × 11
kernel-trick × 10
monte-carlo × 10
summarization × 10
preprocessing × 9
evolutionary-methods × 8
feature-learning × 7
introduction × 7
open-ended × 7
survey × 7
community × 6
large × 6
parallelism × 6
textbooks × 6
amazon × 5
big-picture × 5
distance-based-learning × 5
icml × 5
local-minima × 5
rkhs × 5
taggers × 5
non-parametric × 4
pylearn × 4
pylearn2 × 4
representations × 4
scraping × 3
sparsification × 3
abstractions × 2
automation × 2
feature-generation × 2
graphlab × 2
processes × 2
available × 1
empirical-study × 1
hilbert × 1
publicly × 1
torch × 1