What is the difference between Machine Learning and Artificial Intelligence?

What is the difference between Machine Learning and Artificial Intelligence?

Machine Learning (ML) is a subset of Artificial Intelligence (AI). AI refers to the broader concept of machines being able to carry out tasks in a way that we would consider 'smart', while ML specifically focuses on the idea that systems can learn from data, improve their performance over time without being explicitly programmed.

Can you give me examples of each?

Sure! An example of AI is a virtual assistant like Siri or Alexa, which can understand and respond to voice commands. An example of ML is a recommendation system, like those used by Netflix or Amazon, which learns from user behavior to suggest movies or products.

Are there any other subsets of AI?

Yes, besides Machine Learning, there are other subsets like Natural Language Processing (NLP), which focuses on the interaction between computers and humans through language, and Computer Vision, which enables machines to interpret and make decisions based on visual data.

How does deep learning fit into this?

Deep Learning is a further subset of Machine Learning that uses neural networks with many layers. It's particularly effective for tasks like image and speech recognition.