What is the Difference between AI and ML?

YEREVAN, Armenia - Feb. 2, 2023 - PRLog -- Both Artificial Intelligence and Machine Learning are among the most significant technological advancements over recent years. AI and ML technologies have already been applied in a wide range of industries including healthcare, finance, construction, transportation, logistics, education, etc.

AI and ML are often used interchangeably to describe intelligent software or system. While Artificial Intelligence and Machine Learning are closely related, there are some differences between these two.

What is Artificial Intelligence?

Artificial Intelligence  is a branch of computer science trying to bring human thinking capability and behavior into machines. In other words, AI is the ability of a computer or machine to mimic human cognitive functions such as learning and problem-solving. AI performs tasks that require human intelligence such as thinking, reasoning, learning from experience, and making decisions.

AI Examples
  • Manufacturing robots
  • Self-driving cars
  • Smart assistants
  • Healthcare management
  • Automated financial investing
  • Virtual travel booking agent
  • Social media monitoring
  • Marketing chatbots

What is Machine Learning?

Machine Learning is a subcategory of Artificial Intelligence allowing machines to automatically learn from data without being programmed for specific tasks. To put it simply, ML aims to enable machines to learn by themselves using data in order to make increasingly better decisions.

Business benefits of Machine Learning may include user behavior analysis, improved automation, product personalization, customer service improvement, predictive maintenance, financial analysis, fraud detection, security enhancement, etc.

For example, most e-commerce websites use machine learning tools that provide recommendations for different products based on historical data. If you frequently search for programming books on Amazon and buy one of them, the home page of Amazon will show you a list of programming books.

Wrapping up…
  • AI is a technology that enables machines to mimic human intelligence. It aims to make a computer system that solves complex problems requiring human intelligence. Intelligent systems carry out various complex tasks as humans do.
  • Some practical examples of AI include Siri, AI-based chatbots, smart robots, etc.
  • The two primary subsets of AI are machine learning and deep learning.
  • ML is a branch of AI that allows machines to self-learn from past data without any programming.
  • Some practical examples of ML are recommendation systems, Google search algorithms, automatic suggestions for friend tagging on Facebook, etc.

For more information read our latest blog post on the difference between AL and ML (https://addevice.medium.com/what-is-the-difference-betwee...)
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