AI questions #3

Which of the following is an advantage of classical machine learning compared to deep learning? Classical machine learning is more expensive to operate, but gives better results. Classical machine learning is easier to interpret. Classical machine learning works well with unstructured data. Classical machine learning outperforms deep learning ecosystems.

Classical machine learning is easier to interpret.

Which of the following encompasses the use of neural networks with multiple hidden layers to analyze complex data and make predictions? Classical algorithms for data analysis Deep learning Machine learning with single-layer neural networks Statistical methods for pattern recognition

Deep learning

How can you demonstrate the concept of machine learning?

Determine the farthest distance from a target that an archer can reliably hit bullseyes by shooting arrows repeatedly while walking closer and closer to the target.

Which of the following is revolutionizing industries by improving decision making, personalizing customer experiences, and enhancing operational efficiency? Variational autoencoders (VAEs) Autoregressive models Generative AI Generative adversarial network (GANs)

Generative AI

Which of the following is a distinguishing feature of generative AI? Generative AI uses algorithms to identify patterns and relationships in existing data, but it cannot create entirely new content. Generative AI relies solely on human input to generate content and does not have the capability to learn from data. Generative AI predicts and classifies data such as discriminative AI models. Generative AI generates new and original content based on a given prompt or data set.

Generative AI generates new and original content based on a given prompt or data set.

In a neural network, which of the following layers is where the activation algorithm is "fired"? Axon layer Hidden layer Input layer Output layer

Hidden Layer

You are designing a perceptron. Where will you locate the algorithms that run on the signal and then next passes the results to the output layer?

In the hidden layers

Which of the following describes how information flows through the nodes of a perceptron in a neural network? Information flows directly from the input layer to the output layer, bypassing the hidden layers. Information flows randomly between all layers of the perceptron. Information flows from the output layer to the hidden layers, where algorithms are applied, and then to the input layer. Information flows from the input layer to the hidden layers, where algorithms are applied, and then to the output layer.

Information flows from the input layer to the hidden layers, where algorithms are applied, and then to the output layer.

Which concept describes future AI's ability to improve Earth's safety, sustainability, and security? EarthWeb planet Instrumented planet Sustainable planet GeoThrive planet

Instrumented planet

In a bustling city, Emma, a real estate agent, is tasked with predicting housing prices for prospective buyers. She collects data on various factors such as square footage, number of bedrooms, neighborhood, and distance to amenities. Emma wants to understand how changes in these variables impact the selling price of homes. Which of the following methods would Emma most likely use to analyze the relationship between housing prices and factors such as square footage, number of bedrooms, and neighborhood? Analytical regression Logistic algorithm Linear regression Decision tree

Linear regression

Which of the following best describes how machine learning's trial-and-error learning process works? Machine learning relies solely on preset algorithms to generate results without any adjustment or modification. Machine learning makes random adjustments to its algorithms without testing them against existing data. Machine learning adjusts itself by constantly testing new data against its corpus, making modifications based on established patterns. Machine learning learns by memorizing all possible outcomes and selecting the most common one as the correct answer.

Machine learning adjusts itself by constantly testing new data against its corpus, making modifications based on established patterns.

What is the primary source of inspiration for the design of neural networks? Neural networks are inspired by the complex behaviors of animals in their natural environments. Neural networks derive their design principles from mechanical engineering principles and systems. Neural networks draw inspiration solely from conventional computer architectures and algorithms. Neural networks are primarily inspired by the workings of the human brain and its interconnected neurons.

Neural networks are primarily inspired by the workings of the human brain and its interconnected neurons.

What kind of brain cells inspired the creation of neural networks?

Neurons

In which scenario would logistic regression most likely be used? Predicting the likelihood of customers purchasing a product based on their browsing history. Determining the relationship between temperature and ice cream sales. Analyzing the correlation between income and education level. Predicting the grades of students based on the number of extracurricular activities they participate in.

Predicting the likelihood of customers purchasing a product based on their browsing history.

Which one of the following is a new area of research that will extend the abilities of AI systems? Quantum computing Academic enrollment Isometric discovery Reinforcement learning

Quantum computing

Henri is training an AI system. He has loaded the rules of the Chinese game of Go into the system. As the AI system plays its first few games, winning some and losing some, it gradually improves. What type of learning is Henri using to train the AI system? Supervised learning Unsupervised learning Reinforcement learning

Reinforcement

Deep learning models are preferred over classical machine learning models in situations where which of the following occurs? The task involves simple classification problems. The data set is very large and consists of unstructured data, such as images or text. The problem requires understanding of temporal dynamics such as in time series analysis. The data is already in a structured format such as a CSV file or table.

The data set is very large and consists of unstructured data, such as images or text.

After calculating values, what do neural networks often assign to those values that impact the final result?

Weight

Complete the sentence. Deep learning can be differentiated from classical machine learning in that deep learning exclusively uses _______________. linear regression artificial neural networks decision trees reinforcement learning

artificial neural networks

Fill in the blank. In deep learning, many forms of _______________ devices make up the deep learning ecosystem.

deep neural network

As part of research team, you are tagging images of animals in a database as either "dogs" or "not dogs". What kind of machine learning are you preparing for?

supervised

Fill in the blank. _______________ is a future form of artificial intelligence that will support a wide range of industries, like healthcare, science, and agriculture. AI future web Broad AI AI targets AI everywhere

AI everywhere