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theme.min.css
#000 95%);-webkit-mask-size:200% 100%;mask-size:200% 100%;-w...placeholder-wave{100%{-webkit-mask-position:-200% 0%;mask-position:-200% 0%}}@keyframes...fess.codelibs.org/_static/assets/css/theme.min.css -
Tesla doubts reach fever pitch as earnings show...
SKIP TO CONTENT Elon Musk in Los Angeles on April 13....chorus of skeptics about CEO Elon Musk’s focus on the company, investors...www.nbcnews.com/business/business-news/tesla-earnings-report-elon-musk-what-happens-next-sales-ro... -
sitemap-news
/tesla-earnings-report-elon-musk-what-happens-next-sales-rob...doubts about its performance and Musk's focushttps://media-cldnry...www.nbcnews.com/sitemap/nbcnews/sitemap-news -
Slashdot: News for nerds, stuff that matters
Everyone knows who Musk and Zuckerberg are, but Raghavan's...and without modifications, you must retain this notice and the following...slashdot.org -
Slashdot: News for nerds, stuff that matters
which Musk had previously proclaimed would...receive with it. In addition, they must reproduce the original license...slashdot.org/ -
Tweedie regression on insurance claims — scikit...
GammaRegressor mask_train = df_train [ "ClaimAmount" ] > 0 mask_test =...X_train [ mask_train . values ], df_train . loc [ mask_train ,...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Slashdot: News for nerds, stuff that matters
particles and fumes into the masks worn by patients. It could be...Food and Drug Administration -- must be met first. The move by a...devices.slashdot.org -
Flowfields | Emil Dziewanowski - Technical Artist
It must be created before the animation...involves using a point grid mask to mimic pigment dissolving...emildziewanowski.com/flowfields/ -
sklearn.linear_model.SGDClassifier — scikit-lea...
Values must be in the range [0.0, inf) ....penalty is ‘elasticnet’. Values must be in the range [0.0, 1.0] ....scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
Partial Dependence and Individual Conditional E...
y_train = X [ mask_training ], y [ mask_training ] X_test..., y_test = X [ ~ mask_training ], y [ ~ mask_training ] We can...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html