Starting with Machine learning | Introduction | Post 1

In this series of articles, we are to going to have basic understanding of machine learning. We will start from introduction then we will move forward towards the types of machine learning. After then we will go in depth in every topic in easiest way.

We will also discuss some tools for implementing the ideas behind concepts.

WHAT IS MACHINE LEARNING ? 

In this time ,there are several terms that we hear in our daily life i.e; AI , ML, DEEP LEARNING and so on..
Some person says that these terms are totally different but some where they are related to each other. Machine learning and deep learning is the subset of AI that is nothing but Artificial Intelligence.

We involve with Machine Learning in our daily life . Let's take some examples..  Whenever we type or search something in google or bing then google or bing search engines use machine learning algorithms to rank up the websites.
Whenever you see some tags (typically with square shape ) on you and your friends face in the pictures that save in phone or post on social media, it is also done by machine learning.
There are number of activities in daily life like using google map, using any e commerce website,scrolling instagram or using Netflix and so on....we involve with machine learning.

It is the picture showing facial recognition of several persons, done by machine learning algorithm.


DEFINITION

According to Arthur Samuel(1959):

"Machine learning is the filed of study that gives computers the ability to learn without being explicitly programmed."

According to Tom Mitchell(1998):

"Well-posed learning, A computer program is said to learn from experience E with respect to some task T and some performance measure P, if it's performance on T, as measured by P, improves with experience E."

there are numbers of definition given by the different authors but above mentioned definition are well known and standard.

SOME OTHER EXAMPLES

have you ever wonder why amazon always show products that you frequently searched, how our email system automatically put some number of mails in side spam folder which are not very useful to us..how every person has different google feed inside their phones...

Well it all are caused by MACHINE LEARNING algorithms.

I hope that now you have basic understanding of what machine learning exactly is...

Thank You.

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