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