Answer to Question #200871 in Software Engineering for HUSNAIN

Question

Give short answers to the following:

a.      What is the difference between machine learning and deep learning?

b.     Differentiate between supervised, unsupervised and reinforcement learning using one example for each in terms of their applications.

c.      How simple regression is different from logistic regression in terms of output variable?

d.     What do you understand by logit in logistic regression?

e.     What do you understand by the slope of error function?

f.       What is a cost function?

g.      What is the difference between least square and cross entropy cost functions in terms of applications of predictions?

h.     What is a root node and how is it determined?

i.        What are leaf nodes?

How does random forest work?

Answer 1

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