Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : What are the types of machine learning?
Last Answer : i. Supervised Learning ii. Unsupervised Learning iii. Reinforcement Learning
Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence
Last Answer : c) artificial intelligence
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Last Answer : a) True
Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Last Answer : a) News Recommender system
Description : What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs b) The autonomous acquisition of knowledge through the use of manual programs c) The ... use of computer programs d) The selective acquisition of knowledge through the use of manual programs
Last Answer : a) The autonomous acquisition of knowledge through the use of computer programs
Description : Transparency A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : C. Worth of the output of a machine learning program that makes it understandable for humans
Description : Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : B. The information stored in a database that can be, retrieved with a single query
Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : A . The large set of candidate solutions possible for a problem
Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these
Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans
Description : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Description : Machine learning invent by _____. A. John McCarthy B. Nicklaus Wirth C. Joseph Weizenbaum D. Arthur Samuel
Last Answer : D. Arthur Samuel
Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics
Last Answer : B. Artificial neural networks
Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : B. Unsupervised learning
Description : Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : A. Supervised learning
Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : A. Machine Learning
Description : What is Machine learning? A. The autonomous acquisition of knowledge through the use of computer programs B. The autonomous acquisition of knowledge through the use of manual programs C. The ... use of computer programs D. The selective acquisition of knowledge through the use of manual programs
Last Answer : A. The autonomous acquisition of knowledge through the use of computer programs
Description : PROLOG, LISP, NLP are the language of ____ A. Artificial Intelligence B. Machine Learning C. Internet of Things D. Deep Learning
Last Answer : A. Artificial Intelligence
Description : Computer programs that mimic the way the human brain processes information is called as A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : The correct answer is: C. Neural Networks Neural Networks are computer programs or models that are designed to mimic the way the human brain processes information. They are a subset of ... advanced form of neural networks that uses multiple layers of artificial neurons to perform complex tasks.
Description : In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas. A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : B. Deep Learning
Description : The characteristics of the computer system capable of thinking, reasoning and learning is known is A. machine intelligence B. human intelligence C. artificial intelligence D. virtual intelligence
Last Answer : C. artificial intelligence
Description : How many literals are available in top-down inductive learning methods? a) 1 b) 2 c) 3 d) 4
Description : What are the 2 types of learning A. Improvised and unimprovised B. supervised and unsupervised C. Layered and unlayered D. None of the above
Last Answer : B. supervised and unsupervised
Description : Evolutionary computation is A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution. C. ... the knowledge of an expert formulated in terms of if-then rules. D . None of these
Last Answer : B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
Description : Expert systems A . Combining different types of method or information B. Approach to the design of learning algorithms that is structured along the lines of the theory of evolution C. an information base ... the knowledge of an expert formulated in terms of if-then rules D . None of these
Last Answer : C. an information base filled with the knowledge of an expert formulated in terms of if-then rules
Description : Which company offers the LISP machine considered “the most powerful symbolic processor available”? a) LMI b) Symbolics c) Xerox d) Texas Instruments
Last Answer : b) Symbolics
Description : What are the types of machine translation?
Last Answer : i. Rough translation ii. Restricted source translation iii. Pre edited translation iv. Literacy translation
Description : How many types of random variables are available? a) 1 b) 2 c) 3 d) 4
Description : How many types of quantification are available in artificial intelligence? a) 1 b) 2 c) 3 d) 4
Last Answer : b) 2
Description : How many types are available in uninformed search method? a) 3 b) 4 c) 5 d) 6
Last Answer : c) 5
Description : Computational learning theory analyzes the sample complexity and computational complexity of __________ a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning
Last Answer : b) Inductive learning
Description : Inductive learning involves finding a __________ a) Consistent Hypothesis b) Inconsistent Hypothesis c) Regular Hypothesis d) Irregular Hypothesis
Last Answer : a) Consistent Hypothesis
Description : . In an Unsupervised learning ____________ a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given
Last Answer : b) Specific output values are not given
Description : Which of the following is also called as exploratory learning? a) Supervised learning b) Active learning c) Unsupervised learning d) Reinforcement learning
Last Answer : c) Unsupervised learning
Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned
Last Answer : d) All of the mentioned
Description : In which of the following learning the teacher returns reward and punishment to learner? a) Active learning b) Reinforcement learning c) Supervised learning d) Unsupervised learning
Last Answer : b) Reinforcement learning
Description : Automated vehicle is an example of ______ a) Supervised learning b) Unsupervised learning c) Active learning d) Reinforcement learning
Last Answer : a) Supervised learning
Description : Which of the following does not include different learning methods? a) Memorization b) Analogy c) Deduction d) Introduction
Last Answer : d) Introduction
Description : Which is used to choose among multiple consistent hypotheses? a) Razor b) Ockham razor c) Learning element d) None of the mentioned
Last Answer : b) Ockham razor
Description : What is used in determining the nature of the learning problem? a) Environment b) Feedback c) Problem d) All of the mentioned
Last Answer : b) Feedback
Description : How many things are concerned in the design of a learning element? a) 1 b) 2 c) 3 d) 4
Description : Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned
Last Answer : c) Learning element
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
Last Answer : a) Learning
Description : Which is the only way to learn about the different kinds of human faces? a) Perception b) Speech c) Learning d) Hearing
Last Answer : c) Learning
Description : Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned
Last Answer : c) Metalevel state space
Description : Which is used to provide the feedback to the learning element? a) Critic b) Actuators c) Sensor d) None of the mentioned
Last Answer : a) Critic
Description : What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both Partial & Fully
Last Answer : d) Both Partial & Fully
Description : What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both Decision-making & Learning algorithm
Last Answer : d) Both Decision-making & Learning algorithm
Description : Which element in the agent are used for selecting external actions? a) Perceive b) Performance c) Learning d) Actuator
Last Answer : b) Performance