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S = <sunny, warm, high, same>. Training data = <sunny, warm, normal, same> => Yes (positive example). How will S be represented after encountering this training data?

Correct Answer: <sunny, warm, ?, same>
Initially the S hypothesis states that if the conditions are sunny, warm, high and same, then only the example will be positive. But it encounters an example that contains normal instead of high and is a positive example. Hence, that attribute is not specific and it needs to be generalized.

G = ( ; ; ). Training data = => Yes (positive example). How will G be represented after encountering this training data?

G = . Training data = => Yes (positive example). How will G be represented after encountering this training data?

S = Training data = => Yes (positive example). How will S be represented after encountering this training data?

S = Training data = => No (negative example). How will S be represented after encountering this training data?

S = Training data = => No (negative example). How will S be represented after encountering this training data?

Question : Which direction is Sunny facing now ?

Statements :
I. If Sunny turns to his right and again turns to his right, he will be facing North.
II. If Sunny walks some distance and turns left and again walks some distance, then his face will be towards left of Dinesh who is facing South.

Where two or more courts have taken cognizance of the same offence and a question arises as to which of them ought to inquire into or try the offence, the question shall be decided
1. If the courts are subordinate to the same High Court, by that High Court
2. By the High Court within the local limits of whose appellate criminal jurisdiction the accused resides, carries on business or is engaged in a gainful employment
3. If the courts are subordinate to the same High Court, by that High Court in consultation with the State Government concerned
4. If the courts are not subordinate to the same High Court, by that court within the local limits of whose appellate criminal jurisdiction the proceedings were first commenced
Which of the above are correct?

We have been given a dataset with n records in which we have input attribute as x and output attribute as y. Suppose we use a linear regression method to model this data. To test our linear regressor, we split the data in training set and test set randomly. Now we increase the training set size gradually. As the training set size increases, what do you expect will happen with the mean training error?

Which is the part of training information system?
1. Opportunities
2. Training executed
3. Post training developments
4. Skill gaps
5. Number redeployed after training
6. Number retained in other new trades/skill

In the question a statement is given, followed by two arguments, I and II. You have to consider the statement to be true even if it seems to be atvariance from commonly known facts. You have to decide which of the given arguments, if any, is a strong argument.
Statement : Should one year of army training be compulsory for all Indian citizens?
Argument I : No, the costs of training will be prohibitive and one year of labour will be lost.
Argument II : Yes, army training helps make better citizens.