Understanding Supervised Learning Algorithms in Big Data Quiz M6

Quiz M6: Testing Your Proficiency in Supervised Machine Learning Dashboard / My courses Started on State Completed on Time taken Question 1 Monday, April 12, 2021, 12:13 PM Finished Monday, April 12, 2021, 12:21 PM 7 mins 15 secs If the output variable is a category e.g. "apple", "orange" belongs to machine learning type Correct Marked out of 5.00 Select one: a. Supervised - Classification b. Reinfocement c. Unsupervised d. Supervised-Regression Question 2 What is not used in the Supervised Learning Model Correct Marked out of 5.00 Select one: a. Linear Model b. Latent Semantic Analysis c. Neural Networks d. Support Vector Machine Question 3 A process that prepares data so that we can extract its characteristics into a vector. Correct Marked out of 5.00 Select one: a. Feature/attribute b. Feature Extraction c. Training Set d. Instance Question 4 Correct The goal of unsupervised learning is to build a model that can discover hidden components/variables/features in the training data, which can be used for the following, except Marked out of 5.00 Select one: a. Dimension reduction b. Clustering c. Recommendation 1 Online d. Classification 1/5 The image in the above representation is the structural patterns that exist in a data collection (knowledge) in the form of Select one: a. Trees Question 5 b. Rules Correct c. Instance Marked out of 5.00 d. Table Question 6 When you want to uncover inherent groupings in the data, such as grouping animals based on some Correct characteristics/features, e.g. number of legs then the appropriate learning model is Marked out of 5.00 Select one: a. Reinfocement Learning b. Supervised Learning - Classification c. Supervised Learning - Regression d. Unsupervised Learning - Clustering Question 7 Correct Marked out of 5.00 A Learning Model that studies how a system can infer a function to describe the hidden structure of unlabeled data. The system does not predict the correct output, but explores the data and can draw inferences from the data set to describe the hidden structure of the unlabeled data. Select one: a. Semi Supervised Learning b. Reinfocement Learning c. Unsupervised Learning d. Supervised Learning Question 8 A learning model that uses both labeled and unlabeled data for training. Correct Marked out of 5.00 Select one: a. Reinfocement Learning b. Semi Supervised Learning c. Supervised Learning d. Unsupervised Learning 2/5 The right steps when testing Select one: a. Image Features - Training With Labeled Data - Prediction Question 9 b. Image Features - Training With Labeled Data - Learned Model Correct c. Image Features - Training With Unlabeled Data -Learned Model - Prediction Marked out of 5.00 d. Image Features - Learned Model - Prediction Question 10 The characteristics of each sample data such as Smartphone. feature: has ... Correct Marked out of 5.00 Select one: a. Feature Extraction b. Training Set c. Feature/attribute d. Instance Question 11 Structural patterns that exist in a data collection (knowledge) can be represented in the form of if then rules: Correct Marked out of 5.00 Select one: a. Trees b. Instance c. Rules d. Table Question 12 Learning that produces discrete-valued output values (classes) Correct Marked out of 5.00 Select one: a. Classification b. Generalization c. Regressi d. Clustering Question 13 The right stages when conducting training Correct Marked out of 5.00 Select one: a. Image Features - Training With Labeled Data - Prediction b. Image Features - Training With Labeled Data - Learned Model c. Image Features - Training With UnLabeled Data - Prediction d. Image Features - Learned Model - Prediction Question 14 A collection of data that has been confirmed, in terms of labels, initial data, data components that will be used as keys, Correct Marked out of 5.00 Select one: a. Feature/attribute b. Instance c. Feature Extraction d. Training Set 3/5 Learning that aims to accurately predict outputs for new data and continuous-valued (real) outputs, e.g. for CPU performance prediction Select one: a. Regressi Question 15 b. Classification Correct c. Clustering Marked out of 5.00 d. Generalization Question 16 What is not the goal of supervised learning to build a model that can produce the correct output for an input data can be Correct used for Marked out of 5.00 Select one: a. Regression b. Clustering c. Ranking d. Classification Question 17 Correct Marked out of 5.00 The image in the above representation is the structural patterns that exist in a data collection (knowledge) in the form of Select one: a. Instance b. Table c. Trees d. Rules Question 18 One technique used to control the over-fitting phenomenon is to add a finality to the error function. Correct Marked out of 5.00 Select one: a. prediction b. model selection c. regularization d. generalization Question 19 These models learn from a set of labeled data and are then used to predict future events. Correct Marked out of 5.00 Select one: a. Unsupervised Learning b. Reinfocement Learning c. Semi Supervised Learning d. Supervised Learning 4/5 Question 20 Correct Marked out of 5.00 The image in the above representation is the structural patterns that exist in a data collection (knowledge) in the form of Select one: a. Instance b. Trees c. Rules d. Table - 5/5 Jump to...