Machine Learning Basics Answered!

In this article we will answer few basic questions in Machine Learning(ML) for beginners to get started! This article is meant to be concise for quick reference.

1. What is Machine Learning?

The formal definition of Machine Learning is as follows

Machine learning is the science of getting computers to act without being explicitly programmed

This basically means that an algorithm gets better with experience without requiring human intervention to explicitly write code for it.

2. What are the types of Machine Learning Algorithms?

There are 3 types of ML algorithms

1. Supervised Learning:

This type of learning is for labelled data. Supervised learning is the process where the input data is provided along with the output data so that the model can learn the pattern/relationship between them to predict the output for new and unknown data. This type of learning, though widely used, is usually not found in real world data. Most of the real world data falls into the second category.

Examples of Supervised Learning include Linear Regression, Logistic Regression, Decision Trees etc.

2. Unsupervised Learning:

This type of Learning is usually found in real world scenarios. In this type of learning, the data is not “labelled”…