Answer: Genetic programming is one of the two techniques used in machine learning. The model is based on the testing and selecting the best choice among a set of results.
Answer: In Naïve Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data. The main advantage is that it can't learn interactions between features.
Answer: A classifier in a Machine Learning is a system that inputs a vector of discrete or continuous feature values and outputs a single discrete value, the class.
What is the difference between artificial learning and machine learning?
Answer: Designing and developing algorithms according to the behaviours based on empirical data are known as Machine Learning. While artificial intelligence in addition to machine learning, it also covers other aspects like knowledge representation, natural language processing, planning, robotics etc.