Question: During the last few years, many              algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input…

Question: Techniques involve the usage of both labeled and unlabeled data is called     . A. supervised B. semi-supervised C. unsupervised D. none of the above Answer» b. semi-supervised Note: The above multiple-choice question is for all general and Competitive Exams in…

Question: Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation? A. a)since the…

Question: overlearning causes due to an excessive           . A. capacity B. regression C. reinforcement D. accuracy Answer» a. capacity Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Question: Even if there are no actual supervisors               learning is also based on feedback provided by the environment A. supervised B. reinforcement C. unsupervised D. none of the above Answer» b. reinforcement Note: The above multiple-choice question is for all general…

Question: While using           all labels are turned into sequential numbers. A. labelencoder class B. labelbinarizer class C. dictvectorizer D. featurehasher Answer» a. labelencoder class Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Question: Which of the following methods do we use to find the best fit line for data in Linear Regression? A. a)least square error B. b)maximum likelihood C. c) logarithmic loss D. d) both a and b Answer» a. a)�least…

Question: While using feature selection on the data, is the number of features decreases. A. no B. yes Answer» b. yes Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Question: Overfitting is more likely when you have huge amount of data to train? A. a) true B. b) false Answer» b. b) false Note: The above multiple-choice question is for all general and Competitive Exams in India. 

Question: Given that we can select the same feature multiple times during the recursive partitioning ofthe input space, is it always possible to achieve 100% accuracy on the training data (giventhat we allow for trees to grow to their maximum…