There are numerous use cases of Machine learning, some of them are as below:

• Fraud Detection: It is used in many organizations where transactions are taking place. Banking sector where it becomes crucial to identify Fraud transaction and limit it as much as they can.
• Spam detection: Nowadays, there are lots of viruses are sent over email, and fake emails do come across. For any organization or individual, it is very important to keep their data safe and stay away from fake news. Otherwise, it can cost the loss of information, time, and money.
• Image Recognition: Ever noticed Facebook suggesting tagging a person in a photo you just posted on your Facebook profile? How does Facebook knows this person if there are 5 people and all of them are on Facebook, you would get the option to tag all? Well, this is what image recognition is. A machine can identify the person by name in an image. How cool is that?
• Voice Recognition: Heard about Alexa and Siri. Yeah, they understand your instructions as you say and then work accordingly. If you give the command to play a song, “they shall be done,” and music will be played, of course, the song shall be available somewhere online.
• Sentimental Analysis: Humans are emotional. They are driven by sentiments, say 10 bad things about a good product, and no one would buy that, and say 10 good things about a bad product, people would still buy it. because of their sentiment, they would choose the first product. ML is applied for sentimental analysis on Amazon, Flipkart & Twitter.
• Recommendation Engine: Buy an electric appliance on Amazon, and it will recommend buying similar products, or watch a video on youtube you will get a recommended video. All job is done by recommendation engines.