How AI works?

The video tutorial introduces artificial intelligence (AI) and its goal to create self-solving software. It distinguishes AI from machine learning, explaining that machine learning is a subset of AI. Traditional programming is contrasted with machine learning, which learns from data rather than explicit rules. The tutorial covers the basics of machine learning, including training phases and data-driven learning. It introduces deep learning, inspired by human brain neurons, and highlights its computational demands. Finally, it outlines machine learning tasks like classification, regression, and clustering.

Describe how deep learning algorithms are inspired by the human brain.

How has the advancement of computers impacted the effectiveness of deep learning?

What are the three specific tasks that machine learning is responsible for?