Introduction to Data Science and AI Course

Descriptive, Predictive, Prescriptive Learning

Bayesian, Clustering, Decision Tree

Supervised, Unsupervised, Reinforcement Learning (correct)

Linear, Logistic, Polynomial Regression

Classification predicts categories, while Regression predicts numerical values (correct)

Classification uses decision trees, while Regression uses neural networks

Classification deals with big data, while Regression deals with small datasets

Classification is unsupervised learning, while Regression is supervised learning

Optimizing decision-making by considering various possible actions

Summarizing historical data to understand past events (correct)

Identifying hidden patterns or structures within data

Predicting future outcomes based on historical patterns

<p>Supervised Learning uses labeled data, while Unsupervised Learning uses unlabeled data</p> Signup and view all the answers

<p>Learning from complex and large-scale datasets to extract patterns and make decisions</p> Signup and view all the answers