Chapter 1: Introduction to Machine Learning

Machine learning is a collection of ________________ and _________________ used to design systems that learn from data.

Algorithms, Techniques

What are the three types of problems that are solved through machine learning?

1. Classification 2. Regression 3. Clustering

Machine learning consists what three domains?

1. Scientific Computing 2. Mathematics 3. Statistics

Name the two types of ML algorithms

1. Supervised Learning Algorithms 2. Unsupervised Learning Algorithms

What type of ML problem helps in grouping similar data points into intuitive groups.

Clustering

What types of problems are associated with unsupervised learning?

Clustering

What type of ML problem identifies the set of category in which a new observation belongs to, based on a set of training data containing in the observed categories?

Classification

What types of problems are associated with supervised learing?

Classification and Regression

Machine learning is about finding _______________________.

Patterns

What type of problem helps in forecasting the future by estimating the relationship between the variables?

Regression