Blogs
Multi-Armed Bandits: Implementing Reinforcement Learning
This is post #2 of a 2-part series focused on reinforcement learning, an AI deployment approach that is growing in popularity.
Our blogs are your gateway to a world of thought-provoking articles that navigate the complexities of AI, machine learning, and data-driven strategies. Authored by our team of data science experts, each blog post unveils a tapestry of knowledge, demystifying intricate concepts, unraveling industry trends, and offering fresh perspectives on the ever-evolving landscape of technology.
This is post #2 of a 2-part series focused on reinforcement learning, an AI deployment approach that is growing in popularity.
In this post I will provide a gentle introduction to reinforcement learning by way of its application to a classic problem: the multi-armed bandit problem.
We examine how to apply machine learning to segment based
on transaction data and transform those clusters into customer segments.
Root cause and diagnostic analytics is a great approach for identifying computer failures.
One of our data scientists takes an intensive review of deep learning applications, exploring how deep learning is being applied in the world today and what it means at Mosaic.
Optimizing how airplanes take off is a perfect use case for fusing IoT and predictive analytics.
We examine how to apply ML & AI for the IoT use case of mining for aircraft performance insights.
Propensity modeling is a powerful ML technique for solving multiple marketing analytics use cases.
Utilizing AI techniques like NLP is a great way to reduce the time it takes to find optimal candidates for job openings.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.