Applications of Machine learning in Artificial Intelligence
As the first step, we must look at the basics of artificial intelligence(AI).AI defined as simply Making computers think like humans and solve problems in the best way.
Artificial Intelligence has two main subfields, Machine Learning and Deep Learning.
Deep Learning could be a more specialized version of machine learning.
Machine learning is an application that provides the ability to earn automatically and improves without programming everything. This focuses on developing programs that can access data, use data and learn and improve themselves.
We are using machine learning products in our daily life, Such as Google Maps, Google Assistant, Alexa, etc.
Machine Learning in Artificial Intelligence is growing day by day. Below I show some most trending Applications of Machine Learning.
01.Image Recognition
The most common application of machine learning is image recognition. We can recognize objects, persons, places, digital images, etc. Face detection is the most popular use case of image recognition.
As an example:
We can tag a friend on Facebook by using auto friend tagging suggestions. Whenever we upload a photo with our Facebook friends, then we automatically get a tagging suggestion with the name.
02.Speech Recognition
Another most popular application of machine learning is Voice recognition or speech recognition. The process of speech Recognition is converting our voice into text. While using Google, We can use the option “Search by Voice”.
Nowadays, In machine learning widely use this application such as Google Assistant, Siri, Cortana, Alexa.
03.Traffic prediction
Everyday We use Google Maps because it shows us the correct path, the shortest route with time, traffic conditions, or path to visit a new place. These services provide using Real-Time location and Average time has taken before. Everyone who is supposed to use Google Maps is helping to make it better without any worst cases.
04.Product recommendations
If we heard these words, Suddenly remembering some e-commerce and entertainment websites such as Amazon, Netflix, etc. which website use recommendations.
As an example:
Whenever we search for a product on an e-commerce website like amazon,e-bay, then we start getting Advertisements, recommendations for the same product. This is because of Machine Learning.
That means they can understand the use interest with the help of machine learning.
05.Self-driving cars
The most popular car manufacturing company, Tesla is working on self-driving cars. They are one of the most exciting applications of machine learning. These types of cars using an unsupervised learning method to train to detect people and objects and drive automatically without a human.
As Example: Waymo cars use ML to understand surroundings
06.Email Spam and Malware Filtering
When we receive a new email, it is filtered automatically as important, normal, and spam. We always receive an important mail in our inbox with the important symbol and spam emails in our spam box, and the technology behind this is Machine learning. Below are some spam filters used by Gmail:
● Content Filter
● Header filter
● General blacklists filter
● Rules-based filters
● Permission filters
To do this use some machine learning algorithms such as Multi-Layer Perceptron, Decision tree, and Naïve Bayes classifier
07.Medical Diagnosis
Machine learning is used for disease diagnoses in medical science. Mostly can predict the exact position of lesions in the brain with this, medical technology can build 3D models and grow very fast. It helps to find brain tumors and brain-related diseases easily.
Resources:
https://www.javatpoint.com/
https://www.expert.ai/
https://www.potentiaco.com/
https://builtin.com/
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