Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we will learn from.
a)Medical diagnosis: A patient walks in with a medical history and some symptoms , and you want to identify the problem.
*My answer: Input space: Medical history. Output space:Symptoms. target function: Identify problem: Medical history -> Symptoms *
b)Handwritten digit recognition(for example postal zip code recognition for mail sorting)
My answer: Input space: postal zip code. Output space: Handwritten digit recognition. Target function: Mail sorting
c) Determining if an email is spam or not.
My answer Input space: email, Output space: spam or not. Target function determining
d)Predicting how an electric load varies with price,temperature,and day of the week.
My answer: Input space:Price,temperature and day of the week. Output space: Electric load. Target function: prediction.
e)A problem of interest to you for which there is no analytic solution, but you have data from which to construct an empirical solution.
This is my question and I provide answer of those question except the last one.
My question is that my answers are correct or not?