Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17
Analysis
This article summarizes a podcast episode featuring Alekh Agarwal, a researcher at Microsoft Research, discussing Interactive Machine Learning (IML). The discussion covers key aspects of IML, including active learning, reinforcement learning, and contextual bandits. The focus is on exploring the research landscape of IML, highlighting its various components and potential applications. The article serves as an introduction to the topic, providing a glimpse into the ongoing research and the areas being explored within the field of interactive machine learning.
Key Takeaways
- •The article highlights the importance of Interactive Machine Learning.
- •It mentions key areas within IML like active learning and reinforcement learning.
- •The discussion is based on a podcast interview with a researcher from Microsoft Research.
Reference
“Alekh and I discuss various aspects of this exciting area of research such as active learning, reinforcement learning, contextual bandits and more.”