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Uses of machine learning




Uses of machine learning

In this segment of the article we are going to take an overview on the uses of machine learning technology in the present scenario. There are various sectors where machine learning technology is used by developers to edge their workload and keep an eye on minute details to improve in a well or sophisticated manner. The uses of machine learning are as follows :

Social media platforms - the modern time is also known as social media time. Almost everyone around the globe is using at least one kind of social site from the numerous platforms available today like facebook, instagram, twitter, kuhu, youtube, reddit, flicker etc. Sometimes you may be surprised by the ads and suggestions you get on the various social media platforms used by you. In those suggestions they show us the similar products or things that we search or talk about. Apart from that on social sites we get friends' suggestions and other things that are more similar to our interest; This is  all done by the algorithms used by the developers to train the machines.

Website Search Query Optimization by Machine Leanring Approach

Classification of User Task Behavior by Machine Leanring Approach

Digital Data Classification at Cloud

Secured Data Classification at Cloud

Social Media Comments Sentiment Analysis

Whatsapp Group Chat Analysis

Tweet Sentiment Detection

Student Document Segmentation by Machine Learning

Research Article Clustering by Machine Learning

Netwrok Attack Detection by Machine Learning

Could Attack Detection by Machine Learning

IOT Network Attack Detection

Dicom Image Diagnosis by Machine Learning

Tumor Detection by Machine Learning

Hash Based Secured Document Retreival

Object Detection in Video by Machine Learning

Human Activity Recognition using Smartphone

Object Detection with Deep Learning

Spectrum Optimization by Artificial Neural Network

Bot Detection by Artifical Neural Network

Social Media BoT User Detection

Software Detect Detection by Machine Learning approach

Covid-19 Prediction by Machine Learning Approach

Website User Click Prediction

Cloud Malicious Node Detection

Shopping Site product Prediction by social Media analysis

Medical Image Diagnosis by Machine Learning Approach

Student Grade Prediction

School Education Based Grade Prediction

Fraud Detection with Machine Learning

 Catching Tax Fishing Company

Image Background Removal

Multi Keyword Document Retrival

Increase Online Sale Analysis by Webpage Recommendation

Shopping Site product Recommendation

Online Shopping Product Rating Prediction

Service Rating prediction

Agriculture Crop prediction

Ariculture Envionment based Crop Production Prediction

Envionmental anaylsis for Crop Yied Output

Fake User Identification on Social Media

Face Expression Detection

Face Sentiment Detection

Social Media Spammer Detection

Server Task Load Balancing

Multitask Scheduling for Load optimization

Ransomeware Detection Model

Network Ransomware Detection by Machine Learning

Speech recognition technology - there are various fields in which AI and ML technology do commendable work through their gadgets and appliances. At present there is not a single person out there who doesn't know about virtual assistants like alexa, siri, cortana, bixby and google assistant etc. all of these virtual assistants or ai system are possible because of the ML technology.

Detection of Spam messages - advanced technologies like AI and ML helps in detecting the spam messages one gets on their emails and other platforms. They categorised it separately so that we don’t have to face any problem in receiving or arranging important mails.

Surveillance  system - sometime ago when there are no sources available to get hands on real time situations brace out people who are convicted in malicious activities. Now due to the AI and ML technologies we can get a hold on the surveillance of those people by video surveillance systems and other devices that help cops and other individuals in monitoring things and building a secure space for them.  








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