“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material.
In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵
Enseñe a todos sus empleados cómo resolver los problemas de los clientes a la primera, rápido, bien y por las buenas.
"Manejando QUEJAS, clientes ENOJADOS y situaciones DIFÍCILES" es el seminario intensivo de Service Quality Institute sobre cómo convertir las quejas en lealtad:…
The Cramer-Rao Lower Bound (CRLB) provides a lower limit on the variance of any unbiased estimator for a parameter. It states that the variance of such an estimator is at least the reciprocal of the Fisher Information. In statistics and machine learning, this is crucial for…
me impresiona la rapidez con la q paso de querer comerme el mundo de todas las formas posibles a querer pudrirme y descomponerme en una cama por el resto de la eternidad
Tu teléfono está a punto de sonar con la oportunidad que has estado esperando: un cambio de vida, alineado y destinado a ti.
Afírmalo y envíate esto a ti mismo.
You have seen the famous bell curve hundreds of times before.
Contrary to popular belief, this is NOT a probability, but a probability density.
What are densities, and why do we need them? Read on:
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1.3M Followers 1K FollowingCo-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
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Co-organizer @rladiesstl & @poWOMENer Data Mgmt Hub
Author of Data Management in Large-Scale Education Research
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Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
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