A Gentle Introduction to Machine Learning Algorithms

Answer nine simple questions to assess your foundational understanding of how common machine learning algorithms work.

#Supervised Learning#ML Basics#Learning Methods#AI Fundamentals#Algorithm Types#Unsupervised Learning

Total Questions

9

Difficulty Level

easy

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
Which statement best describes a decision tree?
Question 1
2
In machine learning, what is the primary goal of supervised learning?
Question 2
3
Which algorithm is commonly used for predicting a continuous numerical value?
Question 3
4
The K-Nearest Neighbors (KNN) algorithm classifies a new data point based on what?
Question 4
5
What type of machine learning task is K-Means clustering associated with?
Question 5
6
What is the primary purpose of a training set in machine learning?
Question 6
7
If a model performs very well on training data but poorly on new, unseen data, it is likely suffering from what?
Question 7
8
Which algorithm is designed to predict a categorical label, like 'spam' or 'not spam'?
Question 8
9
What does the term 'feature' refer to in a standard machine learning dataset?
Question 9