← All resources

Amazon Science

Blog with news from the Operations Research and Optimization group at Amazon

Visit Amazon Science

Type: Blog
Topic: Optimization and machine learning
Audience: Practitioner
Researcher

MIPLearnSoftwareAn extensible framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML). MIPLearn uses ML methods to automatically identify patterns in previously solved instances of the problem, then uses these patterns to accelerate the performance of conventional state-of-the-art MIP solvers such as CPLEX, Gurobi or XPRESS.
Anything you can do I can do betterVideoProf Marco Lubbecke talks about optimization in a TED Talk.
AI for Better PlanningNewsletterLearn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices
Mike Talks AINewsletterPractical AI for business, my experience starting and selling a company, and other content.
ML ain’t your only hammerVideoIntroduction to the field of mathematical optimization.
Solvermax blogBlogBlog about mathematical modeling with Python and Excel