Select the correct answerWhich subfield of AI focuses on designing algorithms that can improve their performance over time by learning from data?Options Natural Language Processing (NLP)RoboticsMachine LearningExpert Systems

Artificial Intelligence has evolved extremely in all the fields except for _________2 pointsa) Web miningb) Construction of plans in real time dynamic systemsc) Understanding natural language robustlyd) All of the mentioned

Which branch of AI is involved in the study of algorithms and statistical models that computers use to perform a specific task without explicit instructions?2 pointsA. Natural Language ProcessingB. Machine LearningC. RoboticsD. Expert Systems

Which best describes Machine learning in AI?A.The ability to use AI tools and applications effectively and responsibly.B.The ability to learn and improve from data without being explicitly programmedC.Coding with multiple different languagesD.Connecting appliances to the internetE.Using an algorithm to recommend songs

Which of the following best describes artificial intelligence (AI)?

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