Lets go 15 year back , When mobile phone were very rare. You might have seen ,only high class people were using Internet . World is changing very fast. Technology change is very rapid in this time . Now mobile phones and Internet are available in every pocket. Even in Movies like Terminator , We see the Application of Artificial Intelligence and Machine Learning . Now machines have their own intelligence . Machine can learn and think also. You must be thinking how machine can learn? . I understand your curiosity to know what is machine learning. If you read this article , You will get the answer of what is machine learning and how machine think?.
But , before going deep in Machine Learning , Lets feel the presence of machine learning around us . I think shopping online will be one of your favorite topic. Specially if you are a girl reader . Right! just kidding . Suppose you are looking to purchase a mobile phone at amazon, You added that to your cart or wishlist . After that started searching something on internet . You find and open a blog , Oh my God the ad is coming on this website is same as your wishlist product . How this magic is possible !
I have tried to put all such queries and their Interesting answers with detail explanation in this article . So After reading this Article you will be knowing .
- What is machine learning ?
- Example of a products where machine learning is used.
- Type of Machine Learning .
What is machine learning ?
Machine Learning is an branch of Artificial Intelligence. It is a field of study to develop the program which can learn from data and environment . The Machine Learning programs auto increase their accuracy with their own experiences .
For Example in weather prediction , If you build the predictor with any machine learning algorithm . If you used past 30 year data as training data set . At current you predict the temperature using decision tree implementation . You will find some predicted value . Now you check your expected outcome with real outcome .Finally , calculate your accuracy . Now you add feed back of output to existed data set. If you continue your prediction over the time, Your data set will increase . Lets see , if you go for prediction after 5 years you must have the data of 35 years . It must give more accurate response than earlier.
Machine Learning is the magic of 21 st century . I am sure after reading the above paragraph , You must have understand what is machine learning .
Example of a product where machine learning is used
Truly telling when I started writing about it , I was too confuse because every other product is machine learning enable these days. Let me guess your favorite one, Of course we can not ignore Facebook. In today’s You must have seen so many social media platform . Feature of recommendation system is in trend everywhere . Like Suggestion of ” Friends you may know ” and “Page you may like ” is also suggestive .
Let me explain how the Auto recommendation based on machine learning and data science works!. When You Search somebody on Social Media Platform, It creates a node and update your Interest and Psychology based on their profile . Suppose you searched some body from any particular organization , After few days You again search someone from the same organization . Machine will learn and update that organization in your cluster . Now onward it will process your friend list . If some of your friend search any body else from that organization Then Machine will conclude based on its learning that you may also know that person .This is how these stuff works . I have taken a very simple example to explain you Guys but Facebook and other social platform must be having different complex algorithms.
Type of Machine Learning
Don’t worry I am not going to make this article boring for guys . I know Writing about type may lead this more academic but here is some thing different for you . This types section also contains the information about How we can give intelligence to machine.
In this style of Machine learning , We give some training to machine based on that we test the accuracy of Machine Learning Algorithm on testing data . Suppose We have made Price prediction algorithms based on machine learning and we have ten year past data of that Stocks . Now we can use three years data for training to machine and rest 7 years data can be used to test and analyse the accuracy of our algorithm.
Unsupervised Learning –
In this style of learning We do not target any particular outcome . Machine try to group different object based on the similar attribute they have based on its learning . For Example If you want to Enhance the sale of Bread , You can use the pattern of related sold item with bread and put them together .This will increase the sell of bread . To accomplish this issue you can use unsupervised machine learning algorithm like K- mean.
Reinforcement Learning –
This kind of learning is very different from other two type of machine learning .Here we don’t train Machine , We write the algorithm in such a way that machine take decision and improve outcomes until it reaches a accuracy level . Markov Decision Process is best example for Reinforcement Machine Learning. Reinforcement Learning is used in Decision making process specially .
Machine learning is different way of programming . In tradition way of programming we give the input and get output but in Machine learning we give the previous output along with the current input and then get the output . So basic challenge in Machine Learning field is to design the feed back system and increase the accuracy of the model . Future of Machine learning is very bright. You can see the past and current trend of Machine learning searched on Google Trend. It is increasing trend. So you can understand how Machine learning will play an important role in future. There is a dedicated article for becoming data scientist .You can read this article for pursuing career as data scientist.
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