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 : Computational learning theory analyzes the sample complexity and computational complexity of a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning e) Knowledge based 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 : . 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 : 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 : 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 : Following is also called as exploratory learning: a) Supervised learning b) Active learning c) Unsupervised learning d) Reinforcement learning
Description : Automated vehicle is an example of ______. a) Supervised learning b) Unsupervised learning c) Active learning d) Reinforcement learning
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 e) Neither inputs nor outputs are given
Description : Differentiate Supervised and Unsupervised learning.
Last Answer : Supervised Learning Unsupervised Learning It involves learning a function From examples of its inputs And outputs It involves learning patterns in the input when no specific output values are ... will learn about Good traffic days and Bad traffic days without any advice.
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 : 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 : Supervised Learning is A. learning with the help of examples B. learning without teacher C. learning with the help of teacher D. learning with computers as supervisor
Last Answer : C. learning with the help of teacher
Description : What could possibly be the environment of a Satellite Image Analysis System? a) Computers in space and earth b) Image categorization techniques c) Statistical data on image pixel intensity value and histograms d) All of the mentioned
Last Answer : d) All of the mentioned
Description : What is Supervised, unsupervised and reinforcement learning ? -AI Class 9th
Last Answer : Meaning of Supervised vs Unsupervised Learning vs Reinforcement Learning Supervised Learning Consider yourself as a student sitting in a classroom wherein your teacher is supervising you, ... Evaluation, Forecast Sales Recommendation System, Anomaly Detection Self Driving Cars, Gaming, Healthcare
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Last Answer : a) True
Description : Which agent deals with happy and unhappy states? a) Simple reflex agent b) Model based agent c) Learning agent d) Utility based agent
Last Answer : d) Utility based agent
Description : Ability to learn how to do tasks based on the data given for training or initial experience A. Self Organization B. Adaptive Learning C. Fault tolerance D. Robustness
Last Answer : B. Adaptive Learning
Description : Define knowledge based Inductive learning.
Last Answer : KBIL algorithm finds inductive hypotheses that explain sets of observations with the help of background knowledge.
Description : In which agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned
Last Answer : a) Learning agent
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 : ____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the mentioned
Last Answer : b) Dynamic CSPs
Description : What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent d) Observation
Last Answer : a) Problem
Description : Computers normally solve problem by breaking them down into a series of yes-or-no decisions represented by 1s and 0s. What is the name of the logic that allows computers to assign numerical values that fail ... 0 and 1? a) Human logic b) Fuzzy logic c) Boolean logic d) Operational logic
Last Answer : b) Fuzzy logic
Description : What is a perception check? a) a cognitive bias that makes us listen only to information we already agree with b) a method teachers use to reward good listeners in the classroom c) ... that allows you to state your interpretation and ask your partner whether or not that interpretation is correct
Last Answer : d) a response that allows you to state your interpretation and ask your partner whether or not that interpretation is correct
Description : What are the two major aspects which combines AI Planning problem? a) Search & Logic b) Logic & Knowledge Based Systems c) FOL & Logic d) Knowledge Based Systems
Last Answer : a) Search & Logic
Description : Wumpus World is a classic problem, best example of _______ a) Single player Game b) Two player Game c) Reasoning with Knowledge d) Knowledge based Game
Last Answer : c) Reasoning with Knowledge
Description : Web Crawler is a/an ____________ a) Intelligent goal-based agent b) Problem-solving agent
Last Answer : a) Intelligent goal-based agent
Description : What is the term used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical
Last Answer : a) Heuristic
Description : Which term is used for describing the judgmental or commonsense part of problem solving? a) Heuristic b) Critical c) Value based d) Analytical
Description : The CAI (Computer-Assisted Instruction) technique based on programmed instruction is __________ a) frame-based CAI b) generative CAI c) problem-solving CAI d) intelligent CAI
Last Answer : a) frame-based CAI
Description : A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical
Last Answer : A. Heuristic
Description : What is the term used for describing the judgmental or commonsense part of problem solving? A. Heuristic B. Critical C. Value based D. Analytical
Description : What is the term used for describing the judgmental or commonsense part of problem solving? A. Heuristic B. Critical C. Value based D. Analytical E. None of the above
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 : How many literals are available in top-down inductive learning methods? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : Inductive learning involves finding a __________ a) Consistent Hypothesis b) Inconsistent Hypothesis c) Regular Hypothesis d) Irregular Hypothesis
Last Answer : a) Consistent Hypothesis
Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned
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 : 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 : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4
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