Exploring Machine Learning Concepts

What is supervised learning?

• Supervised learning is a machine learning approach that uses labeled data to train models.

• Supervised learning is a type of reinforcement learning.

• Supervised learning is a method that requires no data for training.

• Unsupervised learning uses labeled data to train models.

Which of the following is an example of supervised learning?

• Identifying patterns in stock market trends.

• Clustering customer data based on purchase history.

• Predicting whether an email is spam or not.

• Segmenting images into different categories.

What is the main goal of unsupervised learning?

• To classify data into predefined categories.

• To predict future outcomes based on past data.

• To enhance the accuracy of labeled datasets.

• To identify patterns or structures in data without labeled responses.

How does clustering differ from classification?

• Clustering analyzes data based on time; classification focuses on spatial data.

• Clustering groups data without labels; classification assigns labels based on known categories.

• Clustering is a supervised learning technique; classification is unsupervised.

• Clustering requires predefined categories; classification does not.

What are neural networks primarily used for?

• Image recognition, natural language processing, and predictive analytics.

• Data entry, email marketing, and graphic design.

• Social media management, video editing, and web design.

• Weather forecasting, stock trading, and game development.

What is the role of activation functions in neural networks?

• Activation functions enable neural networks to learn non-linear relationships.

• Activation functions help in reducing the size of the neural network.

• Activation functions are responsible for data preprocessing before training.

• Activation functions are used to initialize weights in neural networks.

Can you name a common algorithm used in supervised learning?

• Support Vector Machine

• K-Means Clustering

• Linear Regression

• Decision Tree

What type of data does unsupervised learning typically work with?

• Structured data

• Unlabeled data

• Supervised data

• Labeled data