Latest Technology

Practical Application Of Machine Learning

The best way to understand machine learning is to see various applications of machine learning in the business world:

1. Data Safety: In an attempt to avoid detection, people making malware continue to change the code, usually two to ten percent, but with machine learning, the safety software can adjust this small percentage into variation and accurately identify the newly created malware. It can also look for patterns in how to access data to identify potential security hazards.

2. Investment: Machine learning enables computer to process a large amount of financial data and predict a change in personal stock and bond prices by using its findings. They can also execute greater speed and volume trade than traditional traders to generate large benefits for investors.

3. Online software development: Online software developer can collect data using machine learning that users analyze that data to improve their software and improve utility and bring ideas for new methods and new features to improve money from software.

4. Health Services: With machine learning, doctors can do everything using a computer, such as diagnosing the disease long ago, and identifying factors that guess whether a patient will have a specific disease.

5. Individual marketing: Machine makes learning companies capable of personalizing their marketing by analyzing the user’s online behavior. For example, if you start searching for cars on the web, there may be a flood of car advertisements on various sites you see. Netflix and Spotify users use machine language to recommend films and music based on their viewing or listening history. Amazon provides recommendations based on your purchase history.

6. Finding and stopping fraud: Credit card companies and other financial institutions can identify transactions using machine learning that do not match the purchase history of the customer and either suspend the use of the card or inform the card holder about suspicious activity.

7. Online Search: Google and other online search sites use machine learning to rank the items in their search results. If you discover a word, click on a certain link and remain on that page for some time, Google assumes that the page has provided what you needed, which can promote the page that can promote the ranking when you or another person discovers the same word or phrase.

8. Smart device: Smart devices collect data in relation to their use and personalize their operations based on those patterns. For example, a smart thermostat can know your schedule and can raise the temperature just before you come home and reduce the temperature just before your bedtime.

Read Also:

  1. Rise Of Machine Learning
  2. Adoption Of Machine Learning For Medical Diagnosis
  3. Importance Of Artificial Intelligence And Machine Learning In Agriculture
  4. How Can I Support Students To Use Chatgpt To Support Their Learning
  5. Factors Affecting Student Interest In Learning In Online Learning In Primary School
  6. Vlogging: A New Channel In Language Learning And Intercultural Exchange
  7. Strong And Weak
  8. The General Artificial Intelligence Problem Solver
  9. What Is Artificial Intelligence
  10. Introduction About Artificial Intelligence
  11. Will Artificial Intelligence Take Over Our Jobs A Human Perspective On The Future Of Employment
  12. Artificial Intelligence: Impact On Employment And Workforce
  13. Artificial Intelligence In Mobiles
  14. Artificial Intelligence In Agriculture
  15. Artificial Intelligence (AI)-Based Smart Agriculture For Sustainable Development
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Sunil Saini

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