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Introduction to Reinforcement Learning – Part 2
November 26, 2020 @ 4:00 pm - 5:00 pm EST
Please note that this is an event hosted by the Ottawa Cognitive, AI & Data Science Meetup group.
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/ibm/j.php?RGID=rb1b2c0b79f2252829668d960dfee198e
This is a follow-up to our ‘Introduction to Reinforcement Learning’ session held on Nov 19. In this ‘Introduction to Reinforcement Learning – Part 2’ session, we will do a quick recap of information covered during our Nov 19 session, and will continue our journey in Reinforcement Learning.
Reinforcement learning is a fascinating type of AI where software agents learn how to solve complex problems or maximize rewarding outcomes by performing a sequence of actions in the environment. Reinforcement learning research has made significant advances in recent years and is used in wide areas of applications including self driving cars, robotics, NLP, and gaming to name a few.
Ahmed El-Khouly, Technical Lead of IBM Cognos recommenders system. Now Ahmed is currently focused on infusing AI into Business Intelligence applications and researching latest AI technology advances to help users explore and unearth valuable business insights.