Webinar on: Develop More Accurate Machine Learning Models with MIP
join this upcoming webinar to learn how Interpretable AI uses MIP to develop more accurate machine learning models.
Interpretable AI is a software technology firm that brings cutting edge research in machine learning powered by modern optimization to an industrial scale. Recent research in interpretable machine learning has shown that many hard problems, such as finding the best subset of features in regression, can be solved both quickly and exactly with Mixed Integer Programming (MIP). These novel models pioneered by the founders of the company, have shown to achieve significantly better out of sample performance in real-world settings. Interpretable AI has applied its machine learning algorithms using MIP in a wide range of industries, including insurance, health care, manufacturing.
In this webinar, you will learn:
- How Interpretable AI uses MIP at scale to develop more accurate machine learning models. Examples include Optimal Decision Trees, Optimal Imputation, and Optimal Feature Selection
- Why machine learning under a modern optimization lens has an edge over traditional approaches
- Real-world examples in health care and manufacturing where the interpretable machine learning algorithms bring value
For your convenience we have two sessions for you to choose from:
Tuesday, September 29th at 11 am EDT (GMT -4) presented by Daisy Zhuo, PhD, Co-Founding Partner at Interpretable AI.(06:30-07:30 PM-Tehran Time)
Wednesday, September 30th at 9 am EDT (GMT -4) presented by Dimitris Bertsimas, PhD, Co-Founding Partner and Daisy Zhuo, PhD, Co-Founding Partner at Interpretable AI.(04:30-05:30 PM. Tehran Time)
To register and more information please click here.
If you have any questions in this regard or need further information, please feel free to contact us at: