Making reinforcement learning practical for real-world developers

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...

Full description

Bibliographic Details
Other Authors: Mallya, Sunil, on-screen presenter (onscreen presenter)
Format: Online Video
Language:Inglés
Published: [Place of publication not identified] : O'Reilly Media 2019.
Subjects:
Amazon Web Services (Firm)
O'Reilly Artificial Intelligence Conference > (2019 : > San Jose, California)
Reinforcement learning.
Artificial intelligence.
Machine learning.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822836806719
Description
Summary:"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.
Item Description:Title from title screen (viewed July 22, 2020).
Physical Description:1 online resource (1 streaming video file (42 min., 36 sec.)) : digital, sound, color

Similar Items