Note: This article is completely for new comers(no math)who have no idea about linear regression. This is only meant for basic conceptual understanding.

In our previous post we learnt about the types of machine learning algorithms.In this post we are gonna take a particular supervised learning algorithm and look into detail with as much simplicity as possible.

Linear regression is the most simplest algorithm in machine learning and not used widely but learning it is mandatory.

So if we take this algorithm there are 2 ways I am gonna explain it.

Example: Here I would explain about the algorithm in…


In my previous post , I have explained how AI works at the background. So kindly check that out before jumping into this.

Note: This is not an academic textbook/Mathematical explanation of Algorithms. This is for people who want to get a foundational view about this

Types:

  1. Supervised Learning
  2. Unsupervised Learning
  3. Reinforcement Learning

Supervised Learning:

As the name indicates, supervised learning involves machine learning algorithms that learn under the presence of a supervisor.

This is similar to a teacher-student scenario. There is a teacher who guides the student to learn from books and other materials. The student is then tested…


Note: A complete ELI5 explanation of the fundamental view of how it works in the background. If you are experienced feel free to avoid it at the same time if you are interested give it a peek.

So imagine you are 8 years old and your mom wants you to be a little responsible. She wants to test you by giving you a task of going to the shop and buying some vegetables. Even though its your first time she thinks that you should learn the whole process by yourself. …

Joe

Writer - Data science

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