Practice Quiz Module 1 and 2

What is true about Machine Learning? ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. Machine Learning (ML) is that field of computer science The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention. All of the above

All of the above

Machine learning is a subset of_________ Deep Learning None of the above Artificial Intelligence

Artificial Intelligence

Which of the following system is incapable of learning incrementally and must be trained using all the available data offline? Online learning Batch learning Model-based learning Instance-based learning

Batch learning

Which of the following system learns the examples by heart, then generalizes to new cases by using a similarity measure to compare them to the learned examples? Model-based learning Online learning Batch learning Instance-based learning

Instance-based learning

_________________ algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed. Traditional Learning Machine Learning

Machine Learning

__________________ is a category of an algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. Traditional Learning Machine Learning

Machine Learning

Which of the following system builds a model of the training examples and then use that model to make predictions? Batch learning Model-based learning Online learning Instance-based learning

Model-based learning

What device below is not an example of Machine Learning? None of the above Google Search Speech to Text Wearable fitness tracker Google Assistant

None of the above

Which of the following system is used to train the system incrementally by feeding it data instances sequentially? Batch learning Model-based learning Instance-based learning Online learning

Online learning

Check/Click all which uses Machine Learning below. Prediction of House Prices Image Recognition Medical Diagnoses Face Recognition

Prediction of House Prices Image Recognition Medical Diagnoses Face Recognition

What are the two types of Supervised Learning? Declassification Regression Progression Classification

Regression Classification

This type of Machine Learning learns by interacting with its environment. The agent receives rewards by performing correctly and penalties for performing incorrectly. The agent learns without intervention from a human by maximizing its reward and minimizing its penalty. It is a type of dynamic programming that trains algorithms using a system of reward and punishment. Unsupervised Learning Reinforcement Learning Supervised Learning Semi-supervised Learning

Reinforcement Learning

Which of the following is not type of learning? Supervised Learning Reinforcement Learning Unsupervised Learning Semi-unsupervised Learning

Semi-unsupervised Learning

In this kind of Machine Learning, an AI system is presented with data which is labeled, which means that each data tagged with the correct label. Supervised Learning Reinforcement Learning Unsupervised Learning Semi-supervised Learning

Supervised Learning

This picture shows a result of ... Unsupervised Learning: Prediction Supervised Learning: Classification Supervised Learning: Regression Unsupervised Learning: Regression

Supervised Learning: Regression

Tom Mitchell of Carnegie Mellon University said that, "A computer program is said to learn from experience E with respect to some "T" and some performance measure P, if its performance on T, as measured by P, improves with experience E." What is "T"? Task Temper Time Test

Task

What is Machine learning? The selective acquisition of knowledge through the use of manual programs The selective acquisition of knowledge through the use of computer programs The autonomous acquisition of knowledge through the use of manual programs The autonomous acquisition of knowledge through the use of computer programs

The autonomous acquisition of knowledge through the use of computer programs

In this type of Machine Learning, an AI system is presented with unlabeled, uncategorized data and the system's algorithms act on the data without prior training. The output is dependent upon the coded algorithms. Semi-supervised Learning Unsupervised Learning Reinforcement Learning Supervised Learning

Unsupervised Learning

What are the types of Machine Learning? Correct answer: Unsupervised Learning Learning Differentiated Technical Learning Reinforcement Learning Supervised Learning

Unsupervised Learning Reinforcement Learning Supervised Learning

This picture shows an application of ... Supervised Learning: Regression Supervised Learning: Classification Unsupervised Learning: Clustering Unsupervised Learning: Prediction

Unsupervised Learning: Clustering

What are the two types of Unsupervised Learning? Loitering Visualization Clustering Dissociation

Visualization Clustering