In the course of their work statisticians are frequently called on to make the acquaintance of, and possible to use, techniques from other fields, such as operational research. One such technique is ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Introduction to programming practice using Python. Analysis and formulation of problems for computer solution. Systematic design, construction, and testing of programs. Substantial programming ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...