1
Quale modello di apprendimento profondo può classificare categorie che non si escludono a vicenda
Esempi: ho una frase nella descrizione del lavoro: "Ingegnere senior Java nel Regno Unito". Voglio usare un modello di apprendimento profondo per prevederlo in 2 categorie: English e IT jobs. Se uso il modello di classificazione tradizionale, posso solo prevedere 1 etichetta con la softmaxfunzione all'ultimo livello. Quindi, posso usare …
9
machine-learning
deep-learning
natural-language
tensorflow
sampling
distance
non-independent
application
regression
machine-learning
logistic
mixed-model
control-group
crossover
r
multivariate-analysis
ecology
procrustes-analysis
vegan
regression
hypothesis-testing
interpretation
chi-squared
bootstrap
r
bioinformatics
bayesian
exponential
beta-distribution
bernoulli-distribution
conjugate-prior
distributions
bayesian
prior
beta-distribution
covariance
naive-bayes
smoothing
laplace-smoothing
distributions
data-visualization
regression
probit
penalized
estimation
unbiased-estimator
fisher-information
unbalanced-classes
bayesian
model-selection
aic
multiple-regression
cross-validation
regression-coefficients
nonlinear-regression
standardization
naive-bayes
trend
machine-learning
clustering
unsupervised-learning
wilcoxon-mann-whitney
z-score
econometrics
generalized-moments
method-of-moments
machine-learning
conv-neural-network
image-processing
ocr
machine-learning
neural-networks
conv-neural-network
tensorflow
r
logistic
scoring-rules
probability
self-study
pdf
cdf
classification
svm
resampling
forecasting
rms
volatility-forecasting
diebold-mariano
neural-networks
prediction-interval
uncertainty