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 ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...

Discover how the 70-20-10 model can transform your team's development approach. This method emphasizes 70% learning on the ...

As the backbone of web development, JavaScript enables dynamic and interactive ... It’s a statically typed programming ...

Dynamic Programming and Optimal Control is offered within DMAVT ... trajectory planning, and reinforcement learning etc. for both continuous and discrete time systems. The class notes provided are ...