swapnac12

swapna.c machine learning analysis and design of algorithms daa ada design and analysis of algorithms omega theata big o asymptotic notations tech teachings space complexity time complexity performance analyis design and analysis of algorihms comparision of algorithms design goals clssification complexity comparison of program and algorithm pseudo code conventions properties characteristics introduction inductive analytical approaches to learning kbann using prior knowledge to initialize the hypothesis combining inductive and analytical learning analytical learning learning set of rules learning rule of first order rules genetic algorithms unit 4 instance based learning computational learning theory multilayer & back propagation algorithm artificial neural networks evaluating hypothesis advanced topics in artificial neural networks designing a learning system introdcution inductive bias candidate elimination algorithm concept learning