Problem
a) Explain why machine learning is critical in solving large data-driven problems.
b) What are the 3 broad ways to reduce the dimensions of input vectors? Briefly explain all such models. Explain why feature selection is a search problem.
c) Explain with 4 Key points how artificial neurons and neural networks are different than the neuron and the neural networks and human brain.