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Question 2 (1 point) AI programs are programs that can Question 2 options: learn the same way humans learn sense, reason, act, and adapt always do what humans cannot do magically solve problems Question 3 (1 point) Which of the following techniques could allow Google's Gmail to identify spam or irrelevant emails in the inbox? Question 3 options: Regression Classification Traditional Programming Clustering Question 4 (1 point) Which of the following describes the AI/Machine Learning Process in the right sequence? Question 4 options: Deployment->Discovery->Learning->Problem Statement Learning->Discovery->Problem Statement->Deployment Problem Statement->Discovery->Learning->Deployment Discovery->Problem Statement->Deployment->Learning Question 5 (1 point) Which of the following is NOT an appropriate application of AI? Question 5 options: Collecting data from an online form Converting 'Singlish' speech to text Predictive Maintenance on HDB Lifts Diagnosis of chronic wounds Question 6 (1 point) Which of the following does NOT describe Supervised Learning in Artificial Intelligence (AI)? Question 6 options: When the computer algorithm iteratively makes predictions on a set of training data and is corrected by a teacher Finding the average of a large dataset of numbers Training a computer algorithm to recognize different models and make of cars with classified car images Training a computer algorithm to recognize cats with millions of classified animal pictures Question 7 (1 point) Which THREE (3) of the following are benefits that can be attributed to AI? Question 7 options: Prediction of the likelihood of survival from surgical procedures based on past surgical data gathered Devices (e.g. toys) that can hear and respond to human commands and/or conversations Automated design and development of computer programmes from scratch Watching movies to provide recommendations Question 8 (1 point) Which of the following is the field within AI used to aid computers in understanding and responding to human's natural language? Question 8 options: Natural Language Processing Text Classification Sentiment Analysis Question Answering Question 9 (1 point) What is the field or sub-field of study in AI that allows an AI application to automatically identify and tag the names of individuals to pictures they have taken? wefie Question 9 options: Supervised Learning Photo Sharing Augmented Reality Computer Vision Question 10 (1 point) Which of the following is the subset of mainstream AI that deals with the science of making computers or machines visually enabled? Question 10 options: Robotics Computer Vision Chatbots Natural Language Processing Question 11 (1 point) A technology company developed a language translation mobile application that allows a user to point his/her mobile phone camera at any text and the app can detect the language of the text and translate to another language of choice. See below. Google Translation Which field of AI has the company used to develop this mobile app? Question 11 options: Robotics Natural Language Processing Chatbots Reinforcement Learning Question 12 (1 point) Which of the following steps should be applied first during Natural Language Processing? Question 12 options: Word vector embedding Simplify the sentence Remove all the redundant words Remove all the digit characters Question 13 (1 point) Which of the following AI application is capable of monitoring patients with mobility issues to avoid fatal falls? Question 13 options: Speech to text conversion Pose estimation Face recognition Face Analysis Question 14 (1 point) Your boss provides you with several thousands of images of dogs and cats. She wants you to build a machine learning algorithm to identify which of the images are dogs and which are cats. Which of the following AI approaches is best suited? Question 14 options: Classification Regression Reinforcement Learning Question 15 (1 point) You are given a home loan dataset and asked to come up with a way to help companies determine the risk level (between 0.0 to 1.0) of potential borrowers. Which of the following AI approaches is best suited? Question 15 options: Classification Reinforcement Learning Supervised Learning Regression Question 16 (1 point) You are given a list of music subscription data for individuals. Your boss asks you to find a way to determine the renewal subscription rate in the future. Which of the following AI approaches is best suited? Question 16 options: Classification Linear Learning Anomaly Prevention Regression Question 17 (1 point) AI Engineers build AI models that can work well with Question 17 options: bad data messy data unbiased data missing data Question 18 (1 point) Decision made by AI should be Explainable, Transparent and Question 18 options: Meaningful Fair Effective Biased Question 19 (1 point) Which of the following AI applications is assessed to have the least severity and probability of harm that can arise from an AI-based decision? Question 19 options: An AI system to approve or reject bank loan application A medical diagnostic system used by doctor A facial recognition system used on mobile device An AI recommendation system used by online clothing store Question 20 (1 point) Which of the following datasets is less likely to cause data privacy infringement issue when it is used to train AI system? Question 20 options: Customer bank account data Images of animals from opensource repository Images of the human faces from Facebook Data scrapped from LinkedIn Profiles

Question

Question 2 (1 point) AI programs are programs that can

Question 2 options:

learn the same way humans learn

sense, reason, act, and adapt

always do what humans cannot do

magically solve problems

Question 3 (1 point) Which of the following techniques could allow Google's Gmail to identify spam or irrelevant emails in the inbox?

Question 3 options:

Regression

Classification

Traditional Programming

Clustering

Question 4 (1 point) Which of the following describes the AI/Machine Learning Process in the right sequence?

Question 4 options:

Deployment->Discovery->Learning->Problem Statement

Learning->Discovery->Problem Statement->Deployment

Problem Statement->Discovery->Learning->Deployment

Discovery->Problem Statement->Deployment->Learning

Question 5 (1 point) Which of the following is NOT an appropriate application of AI?

Question 5 options:

Collecting data from an online form

Converting 'Singlish' speech to text

Predictive Maintenance on HDB Lifts

Diagnosis of chronic wounds

Question 6 (1 point) Which of the following does NOT describe Supervised Learning in Artificial Intelligence (AI)?

Question 6 options:

When the computer algorithm iteratively makes predictions on a set of training data and is corrected by a teacher

Finding the average of a large dataset of numbers

Training a computer algorithm to recognize different models and make of cars with classified car images

Training a computer algorithm to recognize cats with millions of classified animal pictures

Question 7 (1 point) Which THREE (3) of the following are benefits that can be attributed to AI?

Question 7 options:

Prediction of the likelihood of survival from surgical procedures based on past surgical data gathered

Devices (e.g. toys) that can hear and respond to human commands and/or conversations

Automated design and development of computer programmes from scratch

Watching movies to provide recommendations

Question 8 (1 point) Which of the following is the field within AI used to aid computers in understanding and responding to human's natural language?

Question 8 options:

Natural Language Processing

Text Classification

Sentiment Analysis

Question Answering

Question 9 (1 point) What is the field or sub-field of study in AI that allows an AI application to automatically identify and tag the names of individuals to pictures they have taken?

wefie

Question 9 options:

Supervised Learning

Photo Sharing

Augmented Reality

Computer Vision

Question 10 (1 point) Which of the following is the subset of mainstream AI that deals with the science of making computers or machines visually enabled?

Question 10 options:

Robotics

Computer Vision

Chatbots

Natural Language Processing

Question 11 (1 point) A technology company developed a language translation mobile application that allows a user to point his/her mobile phone camera at any text and the app can detect the language of the text and translate to another language of choice. See below.

Google Translation

Which field of AI has the company used to develop this mobile app?

Question 11 options:

Robotics

Natural Language Processing

Chatbots

Reinforcement Learning

Question 12 (1 point) Which of the following steps should be applied first during Natural Language Processing?

Question 12 options:

Word vector embedding

Simplify the sentence

Remove all the redundant words

Remove all the digit characters

Question 13 (1 point) Which of the following AI application is capable of monitoring patients with mobility issues to avoid fatal falls?

Question 13 options:

Speech to text conversion

Pose estimation

Face recognition

Face Analysis

Question 14 (1 point) Your boss provides you with several thousands of images of dogs and cats. She wants you to build a machine learning algorithm to identify which of the images are dogs and which are cats. Which of the following AI approaches is best suited?

Question 14 options:

Classification

Regression

Reinforcement Learning

Question 15 (1 point) You are given a home loan dataset and asked to come up with a way to help companies determine the risk level (between 0.0 to 1.0) of potential borrowers. Which of the following AI approaches is best suited?

Question 15 options:

Classification

Reinforcement Learning

Supervised Learning

Regression

Question 16 (1 point) You are given a list of music subscription data for individuals. Your boss asks you to find a way to determine the renewal subscription rate in the future. Which of the following AI approaches is best suited?

Question 16 options:

Classification

Linear Learning

Anomaly Prevention

Regression

Question 17 (1 point) AI Engineers build AI models that can work well with

Question 17 options:

bad data

messy data

unbiased data

missing data

Question 18 (1 point) Decision made by AI should be Explainable, Transparent and

Question 18 options:

Meaningful

Fair

Effective

Biased

Question 19 (1 point) Which of the following AI applications is assessed to have the least severity and probability of harm that can arise from an AI-based decision?

Question 19 options:

An AI system to approve or reject bank loan application

A medical diagnostic system used by doctor

A facial recognition system used on mobile device

An AI recommendation system used by online clothing store

Question 20 (1 point) Which of the following datasets is less likely to cause data privacy infringement issue when it is used to train AI system?

Question 20 options:

Customer bank account data

Images of animals from opensource repository

Images of the human faces from Facebook

Data scrapped from LinkedIn Profiles

...expand
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Similar Questions

Which of the following techniques could allow Google’s Gmail to identify spam or irrelevant emails in the inbox?ClassificationRegression Traditional ProgrammingClustering

Question 1Which of these terms best describes the type of AI used in today’s email spam filters, speech recognition, and other specific applications?1 pointArtificial General Intelligence (AGI)Artificial Narrow Intelligence (ANI)2.Question 2What do you call the commonly used AI technology for learning input (A) to output (B) mappings?1 pointUnsupervised learningReinforcement learningSupervised learningArtificial General Intelligence3.Question 3You want to use supervised learning to build a speech recognition system. The figure above suggests that in order for a neural network (deep learning) to achieve the best performance, you would ideally use: (Select all that apply)1 pointA large dataset (of audio files and the corresponding text transcript)A small dataset (of audio files and the corresponding text transcript)A large neural networkA small neural network4.Question 4The only way to acquire data for a supervised learning algorithm is to manually label it. I.e., given the input A, to ask a human to provide B.1 pointTrueFalse5.Question 5Which of these statements regarding data acquisition do you agree with?1 pointIt doesn’t matter how data is acquired. The more data, the better.Only structured data is valuable; AI cannot process unstructured data.It doesn’t help to give data to an AI team, because they can always produce whatever they need by themselves.Some types of data are more valuable than others; working with an AI team can help you figure out what data to acquire.6.Question 6You run a company that manufactures scooters. Which of the following are examples of unstructured data? (Select all that apply.)1 pointThe maximum speed of each of your scootersThe number of scooters sold per week over the past yearPictures of your scootersAudio files of the engine sound of your scooters7.Question 7Suppose you run a website that sells cat food. Which of these might be a good result from a data science project? (Select all that apply.)1 pointA slide deck presenting a plan on how to modify pricing in order to improve sales.A large dataset of images labeled as “Cat” and “Not Cat”A neural network that closely mimics how cats’ brains work.Insights into how to market cat food more effectively, depending on the breed of cat.8.Question 8Based on the terminology defined in Lesson 4 “The terminology of AI”, which of the following statements do you agree with? (Select all that apply.)1 pointThe terms “machine learning” and “data science” are used almost interchangeably.Deep learning is a type of machine learning. (I.e., all deep learning algorithms are machine learning algorithms.)AI is a type of deep learning. (I.e., All AI algorithms are deep learning algorithms.)The terms “deep learning” and “neural network” are used almost interchangeably.9.Question 9Which of these do AI companies do well?1 pointStrategic data acquisitionInvest in unified data warehousesSpot automation opportunitiesAll of the above10.Question 10Say you want to input a picture of a person’s face (A), and output whether or not they are smiling (B). Because this is a task that most humans can do in less than 1 second, supervised learning can probably learn this A-to-B mapping.1 pointTrueFalse

Question 1Which of these terms best describes the type of AI used in today’s email spam filters, speech recognition, and other specific applications?1 pointArtificial Narrow Intelligence (ANI)Artificial General Intelligence (AGI)

AI programs are programs that can _________.sense, reason, act, and adaptlearn the same way humans learnmagically solve problemsalways do what humans cannot do

Machine Learning MCQ Questions and Answers1) What is machine learning ?A. Machine learning is the science of getting computers to act without being explicitly programmed.B.Machine Learning is a Form of AI that Enables a System to Learn from Data.C.Both A and BD.None of the above2) Machine learning is an application of ___________.A. BlockchainB.Artificial IntelligenceC.Both A and BD.None of the above3) Application of Machine learning is __________.A. email filteringB.sentimental analysisC.face recognitionD.All of the above4)

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