Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

Application of machine learning

1.   Image Recognition:

2.   Speech Recognition

3.   Traffic prediction

4.   Product recommendations

5. Self-driving car

6.   Virtual personal assistant

7.   Online fraud detection

8.   Stock marketing trading

9.   Medical diagnosis

Image Recognition

Image recognition is one of the most common applications of machine learning. It is used to identify objects, persons, places, digital images, etc. The popular use case of image recognition and face detection is, Automatic friend tagging suggestion:

Speech Recognition

Speech recognition is a process of converting voice instructions into text, and it is also known as "Speech to text", or "Computer speech recognition." At present, machine learning algorithms are widely used in various applications of speech recognition. Google Assistant, Siri, Cortana, and Alexa are using speech recognition technology to follow the voice instructions

.Traffic prediction

If we want to visit a new place, we take the help of Google Maps, which shows us the correct path with the shortest route and predicts the traffic conditions.

Product recommendation

Machine learning is widely used by various e-commerce and entertainment companies such as Amazon, Netflix, etc., for product recommendations to the user. Whenever we search for some product on Amazon, then we started getting an advertisement for the same product while internet surfing on the same browser, and this is because of machine learning.

Self-driving cars

One of the most exciting applications of machine learning is self-driving cars. Machine learning plays a significant role in self-driving cars. Tesla, the most popular car manufacturing company is working on a self-driving car. It is using unsupervised learning method to train the car models to detect people and objects while driving.

Virtual personal assistant

We have various virtual personal assistants such as Google Assistant, Alexa, Cortana, and Siri. As the name suggests, they help us in finding the information using our voice instructions. These assistants can help us in various ways just by our voice instructions such as Play music, calling someone, Opening an email, Scheduling an appointment, etc.

Online fraud detection

Machine learning is making our online transactions safe and secure by detecting fraud transactions. Whenever we perform some online transaction, there may be various ways that a fraudulent transaction can take place such as fake accounts, fake ids, and stealing money in the middle of a transaction. So to detect this, Feed Forward Neural network helps us by checking whether it is a genuine transaction or a fraud transaction.

Stock marketing trading

Machine learning is widely used in stock market trading. In the stock market, there is always a risk of up and downs in shares, so for this machine learning's long short-term memory neural network is used for the prediction of stock market trends.

Medical diagnosis

In medical science, machine learning is used for disease diagnoses. With this, medical technology is growing very fast and able to build 3D models that can predict the exact position of lesions in the brain.