Machine learning

Question 1

Machine learning

Answer 1

getting a computer to do well on a task without explicitly programming it → Improving performance on a task based on experience

Question 2

Unsupervised learning

Answer 2

learns from data without human supervision

Question 3

Reinforcement learning

Answer 3

a type of machine learning process that focuses on decision making by autonomous agents

Question 4

Supervised learning

Answer 4

uses labeled datasets to train algorithms to predict outcomes and recognize patterns

Question 5

Classification

Answer 5

the model tries to predict the correct label of a given input data. In classification, the model is fully trained using the training data, and then it is evaluated on test data before being used to perform prediction on new unseen data

Question 6

A decision tree

Answer 6

a supervised learning algorithm used for both classification and regression tasks. It has a hierarchical tree structure which consists of a root node, branches, internal nodes and leaf nodes. It It works like a flowchart help to make decisions step by step

Question 7

Hunt’s algorithm

Answer 7

builds a decision tree in a recursive fashion by partitioning the training dataset into successively purer subsets - TREE INDUCTION

Question 8

Gini Splitting

Answer 8

a technique used ito determine the best attribute to split the data at each node.
It relies on the Gini Impurity, which measures how “pure” a node is—meaning how mixed the class labels are