Introduction to Machine Learning

 Definition

Machine Learning is a process by which Machines (or generally Computers) learn and improve from previous outputs and adjust themselves to be better at doing a task.
In simple words, when a machine learns by itself is called Machine Learning.

Relation with A.I, Deep Learning, and Data Science

Artificial intelligence means programming machines to be as intelligent as Humans that's why the name Artificial Intelligence ( intelligence which is not real).  

Machine Learning, Data Science, and Deep learning all are the branches of A.I. 
  • Machine learning deals with the learning of the machine through previous outputs and adjusts the performance to perform that task efficiently. 
  • Data Science deals with the manipulation of data and performing operations on data to get some insights. 
  • Deep learning is solving a problem with help of Artificial Neural Networks and the problems where data is huge and Machine Learning algo cannot perform better Deep Learning is used to solve such problems.

This image will help you to understand better the relationship between different fields.

      

                                 Image credits: BCDWorld



The purpose of this blog is to help understand Machine Learning in an easy and concise way. Hope this blog helps you to gain some basic understanding of Machine Learning. This blog post is concise so that it will be easy to understand for anyone without any prior knowledge of Machine Learning.

In the next blog post, we will look at the different types of machine learning. 

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