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...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
O'Reilly Media
2019
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| 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 |
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| Item Description: | Title from title screen (viewed July 22, 2020) |
| Physical Description: | 1 streaming video file (42 min., 36 sec.) |