What is machine learning with real life example?

Image recognition is a well-known and widespread example of machine learning in the real world. It can identify an object as a digital image, based on the intensity of the pixels in black and white images or colour images. Real-world examples of image recognition: Label an x-ray as cancerous or not.

What is the example of machine learning application?

We’ve seen machine learning used to make image recognition and text translation possible. Other applications include email spam and malware filtering, traffic predictions, medical diagnosis and virtual personal assistants.

How is machine learning used in social media?

Machine Learning technology in social media allows machines to decide which advertisements are to be shown to which audience. They collect data from users, analyze it, find out their preferences and accordingly show advertisements which hold their interest.

What is a good use case for machine learning?

Machine Learning techniques are effective in marketing, and one such use case of machine learning in marketing is customer journey optimization. The primary idea of the process is to optimize the customer acquisition cost to a specific conversion point. The top-down approach is one of the popular approaches in use.

Is Alexa a machine learning?

Constantly learning from human data Data and machine learning is the foundation of Alexa’s power, and it’s only getting stronger as its popularity and the amount of data it gathers increase.

Is Siri a machine learning?

About Apple Siri Siri based on Machine Learning, Artificial Intelligence, and on-device intelligence for the functioning of smart recommendations. The AI-driven tool is accessible in more than 35 countries around the world.

What are the five applications of machine learning?

Top 10 Machine Learning Applications

  • Traffic Alerts.
  • Social Media.
  • Transportation and Commuting.
  • Products Recommendations.
  • Virtual Personal Assistants.
  • Self Driving Cars.
  • Dynamic Pricing.
  • Google Translate.

How does social media algorithm work?

Social media algorithms are a way of sorting posts in a users’ feed based on relevancy instead of publish time. Social networks prioritize which content a user sees in their feed first by the likelihood that they’ll actually want to see it.

Where is machine learning applied?

9 Applications of Machine Learning from Day-to-Day Life

  • Virtual Personal Assistants.
  • Predictions while Commuting.
  • Videos Surveillance.
  • Social Media Services.
  • Email Spam and Malware Filtering.
  • Online Customer Support.
  • Search Engine Result Refining.
  • Product Recommendations.

What are some common features and use cases for ML?

Here are 10 applications of machine learning in business that are being used to solve problems and deliver tangible business benefits:

  • Real-time chatbot agents.
  • Decision support.
  • Customer recommendation engines.
  • Customer churn modeling.
  • Dynamic pricing tactics.
  • Market research and customer segmentation.
  • Fraud detection.