DataScience - 26

What is the goal of Machine Learning?

• Write complex programs

• Automate repetitive tasks

• Learn from data and make predictions

• Store large datasets

Which of the following is a type of Machine Learning?

• Recursive Learning

• Supervised Learning

• Conditional Learning

• Patterned Learning

Which ML type finds patterns in unlabeled data?

• Unsupervised

• Supervised Learning

• Reinforcement

• Semi-supervised

Reinforcement Learning uses:

• Labels

• Clusters

• Rewards and Penalties

• Decision Trees

In supervised learning, what is “label”?

• An algorithm

• A target output

• A feature

• A random guess

Which of the following is a classification algorithm?

• Linear Regression

• K-Means

• PCA

• Logistic Regression

Which is an example of supervised learning?

• Spam Detection

• Data Clustering

• Customer Segmentation

• Fraud Detection

Which algorithm is commonly used in unsupervised learning?

• Logistic Regression

• Naive Bayes

• Decision Tree

• K-Means Clustering

Which real-world task fits reinforcement learning?

• Grouping customers

• Teaching robots to walk

• Forecasting sales

• Classifying emails

Predicting house prices is an example of:

• Classification

• Clustering

• Regression

• Segmentation