Introduction to Machine Learning

Introduction

Ali Atiyab Husain

In this chapter we will have a brief view of Machine Learning, learning its applications and understanding its definitions...

What is Machine Learning ?

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Machine Learning is made up of 2 terms machine and learn , and that’s what it essentially is, it focuses on mimicking the way humans learn and gradually improving its accuracy

A Machine Learning Model make decisions without being explicitly programmed, and is  predicated on the notion that computers can learn from data, spot patterns, and make judgments with little assistance from humans.

Examples Of Machine Learning

Email Filtering

Have you ever seen the spam section in gmail or yahoo, have you wondered how a machine predicts whether an email is spam or not ? It all works on the magic of ML.

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Recommendation

Have you ever seen the for you page (fyp) on instagram, or have you wondered how does youtube provides us with such good videos . It does so with the help of ML youtube and instagram uses the data of our recently watched videos and analyses the content we like and shows recommendations accordingly