chapter 6

Question 1

what is Learning?

Answer 1

is knowing something through observation and fact.

Question 2

____ is process of selecting and obtaining useful parts in compact feature vector

Answer 2

feature extraction

Question 3

list types of component learning agents

Answer 3

critics, learning element, performance element and problem generator.

Question 4

type of learning?

Answer 4

supervised and unsupervised learning

Question 5

________ is a set of instance(property and value) with classification

Answer 5

training set

Question 6

_________is training set used to test the accuracy of learning hypothesis

Answer 6

testset

Question 7

______The training set is used to create the model

Answer 7

model construction

Question 8

______test set used to see how well it work in future

Answer 8

model usage

Question 9

list three learning method

Answer 9

decision tree, neural network and Bayesian network

Question 10

what is the difference b/n internal node and leaf node

Answer 10

internal node represent decision rule while the leaf node represent the prediction class.

Question 11

_____ is perform classification by constructing tree based training

Answer 11

decision tree

Question 12

_________ is a layer of interconnected processors

Answer 12

neural network

Question 13

neuron network consist of?

Answer 13

set of link, add function and activation function

Question 14

_________is the most commonly used method for training multilayer feed forward NN.

Answer 14

Back propagation