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 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 : Following is also called as exploratory learning: a) Supervised learning b) Active learning c) Unsupervised learning d) Reinforcement learning
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 : 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 : 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 : 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 : 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 : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
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 : . 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 : Unsupervised learning is A. learning without computers B. problem based learning C. learning from environment D. learning from teachers
Last Answer : C. learning from environment
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 : 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 : In supervised learning A. classes are not predefined B. classes are predefined C. classes are not required
Last Answer : B. classes are predefined
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 : Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is A. Adaptive Learning B. Self Organization C. What-If Analysis D. Supervised Learniing
Last Answer : B. Self Organization
Description : Define Reinforcement Learning
Last Answer : This Learning is rather than being told what to do by teacher, a reinforcement learning agent must learn from occasional rewards. Example If taxi driver does not get a tip at the end of journey, it gives him a indication that his behaviour is undesirable.
Description : Define Active Learning.
Last Answer : The agent must learn what to do. An agent must experience as much as possible of its environment in order to learn how to behave in it.
Description : Which is mainly used for automated reasoning? a) Backward chaining b) Forward chaining c) Logic programming d) Parallel programming
Last Answer : c) Logic programming
Description : A completely automated chess engine (Learn from previous games) is based on? a) Strong Artificial Intelligence approach b) Weak Artificial Intelligence approach c) Cognitive Artificial Intelligence approach d) Applied Artificial Intelligence approach
Last Answer : a) Strong Artificial Intelligence approach
Description : Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network (1) (A) only (2) (B) only (3) (A) and (B) only (4) (A) and (C) only
Last Answer : (1) (A) only
Description : Apple siri is a good example of ______ AI. A. Narrow AI B. General AI C. Neural AI D. None of above
Last Answer : A. Narrow AI
Description : ____ is an independent and self-operated vehicle which moves on defined guide ways a.Automated Guarded Vehicles b.Automated Storage and Retrieval System c.Automated Guided Vehicles d.Automated Driving Vehicles
Last Answer : c.Automated Guided Vehicles
Description : A combination of equipment and controls which handles, stores and retrieves materials withprecision,accuracy and speed under a defined degree of automation is known as ____ a.Automated storage and retrieval system (AS/RS) b.Flexible manufacturing system c.Automated guided vehicle d.None of the above
Last Answer : a.Automated storage and retrieval system (AS/RS)
Description : From the following which is the types of Automated Guided Vehicle (AGV). a.Driver less train b.Pallet trucks c.Unit load carriers d.All of the above
Last Answer : d.All of the above
Description : From the following what is the full form of AGV? a.Automatic Guided Vehicle b.Automated Gas Vehicle c.Automated Guided Vehicle d.None of the above
Last Answer : c.Automated Guided Vehicle
Description : From the following which is the main components of Flexible manufacturing system(FMS). a.Main frame computer b.Automated guided vehicle c.Material handling system d.All of the above
Description : Explain the different types of Automated guided vehicle system and also state its functions and applications.
Last Answer : Types of AGV 1. Wire guided AGVs: These AGVs follow as inductive wire as guided path. 2. AGVs having optical/chemical/magnetic guide path: These AGVs use a strip of ... Manufacturing system and Computer integrated manufacturing system. 3. Non industrial applications like hospitals, offices etc.
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 : 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
Last Answer : d) All of the mentioned
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 : 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