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Episode 26: Reinforcement Learning for Business Success

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Manage episode 489516894 series 3625586
Content provided by Tyrone Grandison. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tyrone Grandison or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

We introduce reinforcement learning (RL), a type of machine learning where systems learn through interaction and feedback. Examples across retail, finance, and marketing demonstrate RL's practical applications in areas like personalized recommendations, trading, and ad optimization. We introduce potential downsides and challenges associated with implementing RL, such as bias, cost, and security risks, offering brief mitigation strategies.
For more, grab a digital or hardcover copy of "The AI Revolution: Leveraging Artificial Intelligence for Business Success"

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 489516894 series 3625586
Content provided by Tyrone Grandison. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tyrone Grandison or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

We introduce reinforcement learning (RL), a type of machine learning where systems learn through interaction and feedback. Examples across retail, finance, and marketing demonstrate RL's practical applications in areas like personalized recommendations, trading, and ad optimization. We introduce potential downsides and challenges associated with implementing RL, such as bias, cost, and security risks, offering brief mitigation strategies.
For more, grab a digital or hardcover copy of "The AI Revolution: Leveraging Artificial Intelligence for Business Success"

  continue reading

10 episodes

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