what is Machine learning --

What is Machine learning - 

Machine Learning is a fantastic new branch of science that is slowly taking over day-to-day life. From targeted ads to even cancer cell recognition, machine learning is everywhere.

What is Machine Learning?

Machine learning is the process of making systems that learn and improve by themselves, by being specifically programmed. 

The ultimate goal of machine learning is to design algorithms that automatically help a system gather data and use that data to learn more. Systems are expected to look for patterns in the data collected and use them to make vital decisions for themselves.


In general, machine learning is getting systems to think and act like humans, show human-like intelligence, and give them a brain. In the real world, there are existing machine learning models capable of tasks like :

Separating spam from actual emails, as seen in Gmail
Correcting grammar and spelling mistakes, as seen in autocorrect 
Thanks to machine learning, the world has also seen design systems capable of exhibiting uncanny human-like thinking, which performs tasks like: 

Object and image recognition
Detecting fake news
Understanding written or spoken words
Bots on websites that interact with humans, like humans.

How machine learning works - 

A Decision Process:  In general, machine learning algorithms are used to make a prediction or classification. Based on some input data, which can be labeled or unlabeled, your algorithm will produce an estimate about a pattern in the data.

An Error Function:  An error function evaluates the prediction of the model. If there are known examples, an error function can make a comparison to assess the accuracy of the model.

A Model Optimization Process:   If the model can fit better to the data points in the training set, then weights are adjusted to reduce the discrepancy between the known example and the model estimate.

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