In general machine learning is how computers can learn and they follow a set of algorithms to understand the problem.
ML
Machine Learning – used when you can’t explicitly write an algorithm for a given problem. An example for this explanation is that when you want your computer categorize the images.
Let us take an example that makes computers understand the image that contains dogs and other pictures containing cats. You can solve this problem by a machine learning algorithm and a bunch of labeled examples and then a machine learning algorithm which, like an example for neural networks will learn to label new images into either dogs or cats.
Like neural networks, taking a bunch of images can classify whether the image is dog or cat based upon its data like data from a bunch of images of cats or dogs can classify the one picture that is cat or dog by a neural network. So this is how machine learning does.
So these are photos of cats and dogs therefore machine learning uses neural network algorithms to classify dogs and cats.
That is what basically machine learning does it’s way for computer to learn patterns from bunch of examples.
Examples of Machine Learning:-
1. Art, Poems, Music:
How people try to use machine learning to generate things like art, poetry and music. So how would it actually work on that ?
For example:- In poetry, we take a bunch of poems that we have a tendency to like and what is referred to as language model on poems.
also, the that language model learn these applied mathematics regularities in those poems and it’ll learn to come up with similar new poems the same as the given ones
So will it generate sensible poems from the poems that learned from a bunch of poems ?
So that is trusted what poems that we have a tendency to offer pc to find out.
2. Product Recommendations:
Suppose you check an item on flipkart,with some interest we just select the items in your favorite list and we will not buy anything on that day. But the next day, you’re watching videos on YouTube or some online searching and suddenly you see an ad for the same item. You switch to Facebook or instagram, there also you see the same ad. So how does this happen?
Well, this happens as a result Google tracking your search history and tracking your records, and recommending ads that support your search history. This is often one in every good of applications of Machine Learning. In fact, most of our things – unit generated in flipkart or some on-line checking websites area generated by Product Recommendations.
3. Social Media (Facebook):
One of the applications of Machine Learning is automatic friend suggestions that area unit prompt and support your interest in folks Facebook or the other social media platform. Facebook USes face detection and Image recognition to mechanically realize the face of the person that matches from our info that area unit announce by us or others and thus suggests us to tag that person supported deep machine learning
4. Image Recognition:
So from the above topic there is image recognition so how does it work and how does machine learning is applied?
Image Recognition is one among the foremost vital Associate in nursing notable Machine Learning Associate in Nursing AI techniques: an approach for cataloging and noticing a feature or an object within the digital image. This system – adopted for more analysis, like pattern recognition, face detection, or face recognition.
.5. Traffic Alerts (Maps):
How does google suggest fastest route map when we are travelling from one location to the other location so how does it work ?.How does it know that the given route was the fastest route and safest to go and it shows your time will be saved so how does it suggests the best route to go from one location to the other location?
Well, It’s a mixture of individuals presently victimising the service, supported previous Historic knowledge of that route collected over time and some tricks non inheritable from different corporations.
everybody victimisation maps is providing their location, average speed, the route that during which they’re traveling which successively helps Google collect huge knowledge concerning the traffic, that makes them predict the future traffic and modify your route per it.
6. Google Translate:
Remember the time when you travel to a new place and we find difficulties communicating with the local people.
or finding local spots where everything is in a different language and it is difficult to understand.
Google’s GNMT(Google Neural Machine Translation) could be a Neural Machine Learning that works on thousands of languages and dictionaries. It uses language process to produce the foremost correct translation of any sentence or words.
It is one of the best and most used Applications of Machine Learning.
So those are some basic applications of machine learning.
Written By: Mente Sandeep
Reviewed By: Viswanadh
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