In traveling sales man problem solution is

Earth revolves around the Sun.

It is a true fact, and it cannot be changed even if we add another sentence in knowledge base like, "The moon revolves around the earth" Or "Earth is not round," etc.

This is example of

Let suppose the knowledge base contains the following knowledge:

1) Birds can fly 2)Penguins cannot fly 3)Pitty is a bird

So from the above sentences, we can conclude that Pitty can fly.

However, if we add one another sentence into knowledge base "Pitty is a penguin", which concludes "Pitty cannot fly", so it invalidates the above conclusion. This indicates...

Hill climbing suffer with

Local maxima can be dealt by backtracking

Look at the image and tell the value of goal state and initial state using local heuristic given by Local heuristic: +1 for each block that is resting on the thing it is supposed to be resting on. −1 for each block that is resting on a wrong thing

Look at the image and tell the value of goal and initial state using Global heuristic: For each block that has the correct support structure: +1 to every block in the support structure. For each block that has a wrong support structure: −1 to every block in the support structure.

Best first search is meant to deal with

Ravi is convincing his father to get him a I phone by promising whatever his father expects and appreciates most from him, this resembles which AI technique

kamala fell ill in mid of the semester, she is unable to come to college, few of her friends divided subjects among themselves to teach kamala, this resembles which AI technique?

Ajay is choosing saree as a birthday gift to his mother, keeping in mind she doesn't wear black, she prefers cotton material, her favorite color is red. which AI technique it resembles?

which technique combines forward and backward strategies to solve complex problems. With these mixed strategies, complex problems can be tackled first, followed by smaller ones.

In simulated annealing when T becomes 0 it works same as simple hill climbing.

We prefer to use ............ when you have no features neither labels but you can build a reward equation.

In K-NN, is the query time longer than the training time?

Which of the following options is true about the k-NN algorithm?

In K-NN, what is the effect of increasing/decreasing the value of K?

For embedded applications (i.e. running on a smartphone), what is the most appropriate family of algorithm?

Given d the distance between a point of the dataset and the query point, which of the following weight functions is appropriate for Distance-Weighted k-NN?

Mario in Super Mario bros is considered

........ Is used to evaluate Agents' Actions.

We prefer to use ............ when you have Features and Labels

We prefer to use ............ when you have Features Only and No Labels

We prefer to use ............ when you have no features neither labels but you can build a reward equation.

Bayesian Belief network is a

Expand EM

True positive means correctly rejected

The updated probabilities of an Event in light of newly-collected data are known as _______ probabilities

 The estimated probabilities of an Event before any new data is collected are known as _______ probabilities

If P(A) = 0.20, P(B|A)=0.60 and P(B|A')=0.25, then P(A|B) = 

A virus has infected 1.8% of a population. A test detects this virus 95% of the time when it is actually present, but it returns a false positive 3% of the time when the virus is not present.If a person selected at random from this population tests positive for the virus, what is the probability that this person is actually infected? [Round to the nearest percent.]

A test says you have the flu, but you really don't. This is an example of a...

A person is acquitted of a crime, but in reality they were guilty. This is an example of a...

What is an outcome?

A store sells shirts that are either small, medium, or large. Each size comes in either yellow, red, blue or green. If a person selects from these choices at random, what is the probability that they will select a large green shirt?

In hypothesis representation, what is the meaning of the symbol ' ? '

Positive examples of the data set are called as _________

The goal of concept learning is to find __________

______ is the process of dividing datasets into different categories or groups by adding labels.

Estimate the Price of House

Identifying a man

Reinforcement Learning models learn by a continuous process of receiving rewards and punishments on every action taken.

Suitable evaluation metric for measuring the performance of a given regression model is

Chose the correct criterion for Decision Tree Classifier in sklearn package