Question
Which of the following algorithms is commonly used in
Machine Learning for clustering tasks?Solution
K-Means is a popular clustering algorithm in machine learning that groups data points into 'k' clusters based on their similarities. The algorithm works by initializing 'k' cluster centroids, assigning each data point to the nearest centroid, and iteratively updating the centroids until the clusters are optimized. K-Means is commonly used in tasks such as market segmentation, image compression, and pattern recognition. Unlike classification algorithms like K-Nearest Neighbors or Logistic Regression, K-Means does not require labeled data.
In mobile computing, which type of network allows devices to connect directly to each other without using a central router or switch?
Which of the following services is NOT commonly provided by AI/ML platforms?
- Which of the following is a core feature of Cloud Computing that distinguishes it from traditional computing models?
- Which of the following is the primary benefit of Big Data analytics in decision-making?
Which of the following algorithms is commonly used in Machine Learning for clustering tasks?
Which type of Memory is typically the fastest in a computer system?
Which of the following algorithms is most commonly used in Operating Systems for deadlock prevention?
What is the output of the following code: x = 5; y = 2; print(x ** y)?
Which type of malware disguises itself as legitimate software but has malicious intent once installed?
Which of the following is a valid operation on a linked list data structure?
