Artificial Intelligence and Machine Learning: How are they different from each other?

In the world of technology, "artificial intelligence" and "machine learning" are often discussed together. Although they are related to each other, their utility and ways of working are different. Let's understand it in simple language.

1. What is artificial intelligence (AI)?

The aim of AI is to create machines that can think, understand and behave like humans. It is a comprehensive technology that makes machines "intelligent".

How does it work?

• Machines are specially designed in such a way that they can imitate the human mind.
• It focuses on decision making, problem solving and reasoning.

Examples:

• Automated chatbots.
• Voice assistants (like Siri and Alexa).
• Robotic vacuum cleaners.

2. What is machine learning (ML)?

Machine learning is a part of AI that gives machines the ability to learn on their own and improve performance based on data.

How does it work?

• Machines are given large amounts of data.
• Machines recognize patterns from that data and use them to make decisions.
• It does not require direct human intervention.

Examples:

• Movie recommendations on Netflix.
• Fraud detection in banking.
• Personalized recommendations in online shopping.

3. Main Difference Between AI and ML

• Parameter Artificial Intelligence (AI) Machine Learning (ML)
• Purpose To give machines human-like intelligence. To enable machines to learn from data.

4. Understand with a simple example

Imagine you are driving a self-driving car:

• AI: teaches the car which direction to go, when to brake and when to speed up.
• ML: teaches the car to recognize road conditions based on past data and improve its decision.

5. Relation between AI and ML

• AI is a big field and ML is a part of it.
• AI is used to make machines "think" and "understand", while ML makes it better based on data.
• AI includes deep learning and natural language processing (NLP) in addition to machine learning.

6. Their role in the future

The use of AI and ML is growing rapidly in education, health, transportation and business. These technologies are not only solving our problems but also creating new opportunities for the future.

Conclusion

Artificial intelligence and machine learning are two important aspects of technology. AI provides the ability to think and understand, while ML helps to learn from data and improve performance. Both have different uses, but their synergy is making our world smarter and advanced.