What is the primary goal of machine learning?

• To simplify programming languages

• To replace human intelligence

• To enable machines to learn from data

• To create static programs

Which of the following is NOT a type of machine learning?

• Static Learning

• Reinforcement Learning

• Unsupervised Learning

• Supervised Learning

What is the purpose of data pre-processing in machine learning?

• To store data securely

• To clean and prepare data for analysis

• To visualize data

• To generate random data

Which algorithm is commonly used for classification tasks?

• Linear Regression

• Decision Trees

• Principal Component Analysis

• K-Means Clustering

What does overfitting refer to in machine learning?

• A model that is too simple for the training data

• A model that performs well on unseen data

• A model that is too complex for the training data

• A model that has no training data

Which of the following is a method of reinforcement learning?

• Support Vector Machine

• Naive Bayes

• K-Means

• Q-learning

What is the main focus of unsupervised learning?

• To discover patterns in unlabeled data

• To optimize algorithms

• To predict outcomes based on labeled data

• To classify data into predefined categories

Which of the following is a disadvantage of supervised learning?

• Is easy to implement

• Is suitable for all types of data

• Can discover hidden patterns

• Requires labeled data

What is the purpose of feature selection in machine learning?

• To increase the size of the dataset

• To reduce the number of irrelevant features

• To create new features from existing ones

• To visualize data

Which of the following is an example of a clustering algorithm?

• Logistic Regression

• K-Means

• Decision Trees

• Random Forest