Machine learning MCQS

QUESTION 20 on the correlation Which approach is based measurements within a system? Signal based method Model Based method Data driven method None of the mentioned 0.5 points Save Answer Question Completion Status: QUESTION 17 "The primary difference between classification and regression is that classification is used to predict values, while regression is used to predict values." C "Continuous, discrete" "Discrete, continuous" "Nominal, binomial" "Ordinal, nominal" 0.5 points Save Answer QUESTION 18 OOOO A reasonable definition of machine learning is The field of allowing robots to act intelligently The field of study that gives computers the ability to learn without being explicitly programmed. The science of programming computers. To learn from labeled data. 0.5 points Save Answer QUESTION 19 "Suppose you are working on weather prediction, and your weather station makes one of three predictions for each day's weather: Sunny, Cloudy or Rainy. You'd like to use a learning algorithm to predict tomorrow's weather. Would you treat this as a classification or a regression problem?" O Classification Regression 0.5 points Save Answer QUESTION 20 QUESTION 14 Choose the options that are correct regarding machine learning (ML) and artificial intelligence (AI) ML is an alternate way of programming intelligent machines. "ML and Al have very different goals," ML is a set of techniques that turns a dataset into a software Al is a software that can emulate the human mind. 0.5 points Save Answer QUESTION 15 "Real-Time decisions, Game Al, Learning Tasks, Skill Acquisition, and Robot Navigation are applications in 000g Unsupervised Learning: Clustering Supervised Learning: Classification Reinforcement Learning Unsupervised Learning: Regression 0.5 points Save Answer QUESTION 16 Which of these types of visualizations is best to use to explore the correlation between two continuous features? Scatter plot Sankey diagram Histogram Pie chart 0.5 points Save Answer QUESTION 17 Question Completion Status: QUESTION 11 "Suppose you are working on stock market prediction, typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow. Would you treat this as a classification or a regression problem?" Classification Regression 0.5 points Save Answer QUESTION 12 "For finding the best fitting between model and data, we have to set the best model Variables Constant Oooo Error Parameters 0.5 points Save Answer QUESTION 13 Clustering is a type of unsupervised learning. TRUE FALSE 0.5 points Save Answer Question Completion Status: QUESTION 11 "Suppose you are working on stock market prediction, typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow. Would you treat this as a classification or a regression problem?" Classification Regression 0.5 points Save Answer QUESTION 12 "For finding the best fitting between model and data, we have to set the best model Variables Constant Oooo Error Parameters 0.5 points Save Answer QUESTION 13 Clustering is a type of unsupervised learning. TRUE FALSE 0.5 points Save Answer Question Completion Status: 0.5 points Save Answer QUESTION 8 0000 Which approach is based on making decisions by comparing features? Signal based method Model Based method Data driven method None of the mentioned 0.5 points Save Answer QUESTIONS "As the number of training examples goes to infinity, your model trained on that data will have: O Lower variance and Higher bias Lower variance and Same bias Higher variance and Same bias Same variance and Lower bias 0.5 points Save Answer QUESTION 10 The second step of designing a learning system is Oood Problem Analysis Choosing the target function Choosing the testing experience Choosing the training experience 0.5 points Save Answer Question Completion Status: QUESTION 5 "A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E. Suppose we are facing problem of handwriting recognition, Identify what will be the reasonable choice for E?" Total percent of words being correctly classified by the program A set of handwritten words with given classifications/labels. Total probability of words being correctly classified by the program C None of the mentioned 0.5 points Save Answer QUESTION 6 "When the hypothesis space is richer and the feature space is larger, is more likely" Underfitting Overfitting 000 Class imbalance None of the mentioned 0.5 points Save Answer QUESTION 7 Suppose that you have a dataset D1 and you design a linear regression model of degree 3 polynomial and you found that the training error is O or in another terms it perfectly fits the data. What will happen when you fit degree 4 polynomial in linear regression? There are high chances that degree 4 polynomial will over fit the data There are high chances that degree 4 polynomial will under fit the data Can t say None of these 0.5 points Save Answer QUESTION 4 A dataset with two class values that is significantly skewed (more than 90%) towards one of those class values is known as dataset. An inverted A bimodal An imbalanced A skewed 0.5 points Save Answer QUESTION 3 "Suppose that we have N independent variables (X1, X2 Xn) and dependent variable is Y. Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data. You found that correlation coefficient for one of its variable (Say X1) with Y is 0.95." Relation between the X1 and Y is weak Relation between the X1 and Y is strong Relation between the X1 and Y is neutral Correlation can t judge the relationship 0.5 points Save Answer QUESTION 2 "To measure the misfit between M and D, Error functions are used." TRUE FALSE incorrect 0.5 points Save Answer QUESTION 1 The of a dataset represents the number of features in the dataset. Resolution Density Dimensionality Coarseness 0.5 points Save