2010 Interactive Predictive Modeling Strategy 
O'Reilly on Data
SEPTEMBER 19, 2023
” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”
The Unofficial Google Data Science Blog
MARCH 31, 2016
These predictive posterior distributions have many uses such as in multi-armed bandit problems. Thompson sampling is an "explore/exploit" algorithm which was designed for Bayesian models, and its strategy is to randomly select a choice (called an "arm") with probability proportional to the posterior of that choice being the best option.
Expert insights. Personalized for you.
256 
Let's personalize your content