Start note: Favio Vazquez made a great job in his article about it with a lot of charts and showing that in modern Machine Learning approach with the tools that we currently have the problems of replication and methodology are being tackled.
In the post called Learning Market Dynamics for Optimal Pricing post of Sharan Srinivasan he talks about how AirBnb uses ML and Structural Modeling (Mathematical + Statistical Modelling) combined to get some results about the offer to guests the optimal pricing based in market dynamics based in the anticipation of the booking and the difference the time between the booking date until the check-in (also know as Lead Time).
A post about ROC analysis becomes a small lecture about decision analysis: It’s good for researchers to present their raw data, along with clean summary analyses.
This Michael Kaminsky post called The Blacker the Box nail the whole point about understandability x formal modelling using the speed of feedback as a mechanism to help to decide the best approach to implement these models.
Small technical considerations about terminology: First, and less importantly, each slot machine (or “bandit”) only has one arm.
Abstract: We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary algorithms.