Machine Learning - Explained in easiest way

Machine Learning in Daily Life!

When you hear the term Machine Learning, At once you imagine Robots and Some messy algorithms. 

Well, Your Imagination is not wrong though. Let me get to the point. Machine Learning is not only about Robots, we see the application of ML in Our Daily Life, even we use it to get better performance or results!
Surprised?

So Hi,

This is Mayank, An Machine Learning enthusiast, and Computer Science Student. In this blog, You will know the Machine Learning and the applications of it in our daily life.

Well. Let me give you an example of it.

Do you shop online.,  I believe you do. Did you notice, if you are buying a mobile phone then you get a suggestion to buy Mobile Cover too!

Let us take another example of Google Photos, You have google photos on Your phone right?

When you search some specific keywords like 'Garden', 'Memes', 'Screenshot'  Google Photos give you Images containing those specific visions.

These all things possible to happen because of Machine Learning.

What is Machine Learning?

According to IBM :

Machine learning is a branch of Artificial Intelligence ( AI ) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. 

Confused?

Okay Let me make it more simple :

Machine Learning is a collection of tools that make a computer process "SOMETHING" on its own!

What is Something Here?

it could be Numbers, Images,  Text, or any type of Data.

The study to learn How to use the tools to make computer Learn is called Machine Learning.

Well, there arises another question.

Is Artificial intelligence and Machine learning different?

See, Machine Learning is Part of Artificial Intelligence. See the below Image :

ML is just a part or subset of AI.

In Bigger Picture Machine Learning is a Member of Artificial Intelligence Family.

Application of Machine Learning :

Siri, Alexa, Google Now are some of the popular examples of virtual personal assistants. As the name suggests, they assist in finding information, when asked over voice. All you need to do is activate them and ask “What is my schedule for today?”, “What are the flights from Germany to London”, or similar questions. For answering, your personal assistant looks out for the information, recalls your related queries, or sends a command to other resources (like phone apps) to collect info. You can even instruct assistants for certain tasks like “Set an alarm for 6 AM next morning”.

Traffic Predictions: 

We all have been using GPS navigation services. While we do that, our current locations and velocities are being saved at a central server for managing traffic. This data is then used to build a map of the current traffic.

Social Media Services: From personalizing your news feed to better ad targeting, social media platforms are utilizing machine learning for their own and user benefits. Here are a few examples that you must be noticing, using, and loving in your social media accounts, without realizing that these wonderful features are nothing but the applications of ML.

People You May Know: Machine learning works on a simple concept: understanding with experiences. Facebook continuously notices the friends that you connect with, the profiles that you visit very often, your interests, workplace, or a group that you share with someone, etc.

Face Recognition: You upload a picture of you with a friend and Facebook instantly recognizes that friend. 

There are a number of spam filtering approaches that email clients use. To ascertain that these spam filters are continuously updated, they are powered by machine learning. 

You shopped for a product online a few days back and then you keep receiving emails for shopping suggestions. If not this, then you might have noticed that the shopping website or the app recommends you some items that somehow match your taste. Certainly, this refines the shopping experience but did you know that it’s machine learning doing the magic for you?

This is the End! :) Now you know the magic of Machine Learning. In the next blog on ML, I'll be writing about Types of Machine Learning and their application.

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Thank You. Have a good time.