Making reinforcement learning practical for real-world developers /

"Building machine learning-enabled products are hard for developers and data scientists; throw in a hardware component, and the complexity increases exponentially. Sunil Mallya walks you through how to build complex ML-enabled products using RL, explores hardware design challenges and trade-off...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2019.
Temas:
Amazon Web Services (Firm)
O'Reilly Artificial Intelligence Conference > (2019 : > San Jose, Calif.)
Reinforcement learning.
Artificial intelligence.
Machine learning.
Artificial Intelligence
Apprentissage par renforcement (Intelligence artificielle)
Intelligence artificielle.
Apprentissage automatique.
artificial intelligence.
Artificial intelligence
Machine learning
Reinforcement learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Building machine learning-enabled products are hard for developers and data scientists; throw in a hardware component, and the complexity increases exponentially. Sunil Mallya walks you through how to build complex ML-enabled products using RL, explores hardware design challenges and trade-offs, and details real-life examples of how any developer can up level their RL skills through autonomous driving. This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA. and is sponsored by Amazon Web Services."--Resource description page
Notas:Title from title screen (viewed July 22, 2020).
Descripción Física:1 online resource (1 streaming video file (42 min., 36 sec.))

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