What is Distributed K-Means Iterative Clustering?
A single-node clustering algorithm
A clustering algorithm that uses distributed computing to improve scalability
A supervised machine learning algorithm
A dimensionality reduction technique
What is the primary goal of the K-Means clustering algorithm?
Classification of data points
Regression analysis
Finding the nearest neighbor for each data point
Partitioning data points into clusters based on similarity
1 point
What is the main objective of using Parallel K-Means with MapReduce for Big Data Analytics?
To reduce the dimensionality of the data
To classify data points into predefined categories
To efficiently cluster large datasets in a distributed manner
To perform regression analysis on big data
1 point
What is the primary goal of using Parallel K-Means with MapReduce in Big Data Analytics?
To perform regression analysis
To classify data points into predefined categories
To efficiently handle large-scale clustering tasks
To visualize data patterns
1 point
Which of the following tasks can be best solved using Clustering?
Predicting the amount of rainfall based on various cues
Training a robot to solve a maze
Detecting fraudulent credit card transactions
All of the mentioned
1 point
Identify the correct statement(s) in context of overfitting in decision trees:
Statement I: The idea of Pre-pruning is to stop tree induction before a fully grown tree is built, that perfectly fits the training data.
Statement II: The idea of Post-pruning is to grow a tree to its maximum size and then remove the nodes using a top-bottom approach.
Only statement I is true
Only statement II is true
Both statements are true
Both statements are false
1 point
Identify the correct statement(s) in context of machine learning approaches:
Statement I: In supervised approaches, the target that the model is predicting is unknown or unavailable. This means that you have unlabeled data.
Statement II: In unsupervised approaches the target, which is what the model is predicting, is provided. This is referred to as having labeled data because the target is labeled for every sample that you have in your data set.
Only Statement I is true
Only Statement II is true
Both Statements are false
Both Statements are true
1 point
What is the primary focus of Machine Learning?
Accessing data from databases
Extracting meaning from big data
Learning from data
Predicting future outcomes
1 point
Which of the following is an essential activity in the Machine Learning process?
Writing code for specific tasks
Designing graphical user interfaces
Collecting and preprocessing data
Creating beautiful data visualizations
1 point
Which distance measure calculates the distance along strictly horizontal and vertical paths, consisting of segments along the axes?
Euclidean distance
Manhattan distance
Cosine similarity
Minkowski distance