This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
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Principales reseñas sobre PRODUCTION MACHINE LEARNING SYSTEMS
Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.
very good for people who will enter the production stage on machine learning systems
The course is good. but i would appreciate if it would give more details and more coding exercises
very good information. Lot of unknown facts in ML are brought up in the course.
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
Sí, puedes acceder a una vista preliminar del primer video y ver el programa antes de inscribirte. Debes comprar el curso para acceder a contenido que no está incluido en la vista preliminar
¿Qué recibiré cuando me inscriba?
Una vez que te inscribes y comienza la sesión, tendrás acceso a todos los videos y otros recursos, incluidos artículos de lectura y el foro de debate del curso. Podrás ver y enviar tareas de práctica y completar tareas con calificación obligatorias para obtener un título y un Certificado de curso
¿Cuándo recibiré mi Certificado de curso?
Si completas el curso de manera correcta, tu Certificado de curso electrónico se agregará a la página Logros. Desde allí, puedes imprimir tu Certificado de curso o agregarlo a tu perfil de LinkedIn
¿Por qué no puedo participar como oyente en este curso?
Este curso es uno de los pocos que se ofrecen en Coursera que está actualmente disponible solo para estudiantes que pagaron o que recibieron ayuda económica, si está disponible.
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Last Updated: September 1, 2015
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