C.S Projects

I learnt different types of searching algorithms used by agents , DFS, BFS, A*, SSS, greedy search how they compare to each other and factors to consider when choosing which one you should use like completeness, time complexity, space complexity and optimality. I also learnt how to design a problem solving agent , the formulation of the goal, actions and representation of knowledge required.

I learnt that machine learning is a subset of AI, AI being broad covers a lot of aspects and is mostly defined by thinking rationally, acting rationally, thinking humanly, acting humanly,
I also have an understanding of what an agent is, the various types , how they perceive the environment and also factors that describe the environment. So far I’m interested in just looking at everyday scenarios and trying to figure out what intelligent solution could be implemented to make tasks easier.