Mots-clés
machine learning
sparse learning
parsimonious modelling
regularization
graphmodels
lasso
probabilisticgraphmodels
elo
trueskill
feature selection
populous
deepcl
opencl
deep compute
google
nvidia
cuda
asic
cpu
gpu
nervana
on device learning
deep learning
tpu
fpga
h2o.ai
h2o
exploratory data analysis
eda
r-studio
scala
random forest classifier
data mining
rapidminer
aws
big data
mllib
spark
denoising
singhay
high dimension data analysis
matrix completion
voice separation
video denoising
sparse encoding
lowrank matrix
Tout plus
Présentations
(5)J’aime
(9)Neural ODE
Natan Katz
•
il y a 5 ans
Automatic Brain Tumor Segmentation on Multi-Modal MRI with Deep Neural Networks
Andrew Tsuei
•
il y a 6 ans
Deep Learning at Instacart
Jeremy Stanley
•
il y a 6 ans
Introduction to Apache ZooKeeper
Saurav Haloi
•
il y a 11 ans
Big Data in Real-Time at Twitter
nkallen
•
il y a 14 ans
Optimizing MapReduce Job performance
DataWorks Summit
•
il y a 11 ans
Word representation: SVD, LSA, Word2Vec
ananth
•
il y a 7 ans
Recurrent Neural Networks, LSTM and GRU
ananth
•
il y a 8 ans
Adversarial learning for neural dialogue generation
Keon Kim
•
il y a 7 ans
Mots-clés
machine learning
sparse learning
parsimonious modelling
regularization
graphmodels
lasso
probabilisticgraphmodels
elo
trueskill
feature selection
populous
deepcl
opencl
deep compute
google
nvidia
cuda
asic
cpu
gpu
nervana
on device learning
deep learning
tpu
fpga
h2o.ai
h2o
exploratory data analysis
eda
r-studio
scala
random forest classifier
data mining
rapidminer
aws
big data
mllib
spark
denoising
singhay
high dimension data analysis
matrix completion
voice separation
video denoising
sparse encoding
lowrank matrix
Tout plus