What is Classification in Machine Learning?

As the name suggests, classification is a field of research that allows you to classify things, objects, text, images, sounds, etc using a supervised machine learning technique. This means that you are predicting values based on the labeled data of the training examples you have previously provided.

Photo source: Blogs.oracle.com

There are two main types of classification problems:

1. Binary classification - where the classification task has two possible outcomes:
• Gender classification: male / female
• Email filtering: spam / not spam
• Bank transaction: fraudulent / authorized 
2. Multi-class classification - where the classification task has more than two distinct classes:
• classification of the type of soil
• classification of the type of crops
• text sentiment analysis

Which are the most used types of classification algorithms in Machine Learning?

1. Linear Classifiers: Logistic Regression, Naive Bayes Classifier
2. Support Vector Machines
3. Decision Trees
4. Boosted Trees
5. Random Forest
6. Neural Networks
7. Nearest Neighbor

Resources:

1. Supervised Learning: Basics of Classification and Main Algorithms
2. Classification Algorithms in Machine Learning…
3. Types of classification algorithms in Machine Learning