AI is a process of programming computers for intelligent behavior.
This can be narrow AI, which is AI that is designed for a specific task, or general AI, which is AI that can perform multiple tasks.
ML is a process of teaching computers to learn from data.
This can be supervised learning, where the computer is given training data with known labels, or unsupervised learning, where the computer is given training data without labels.
DL is a process of teaching computers to learn from data in a deep hierarchical manner.
This typically involves using artificial neural networks (ANNs), which are algorithms that are inspired by the brain.
What should I learn first: DL, AI, or ML?
This depends on your goals. If you want to build AI applications, then you will need to learn AI and ML.
If you want to build DL applications, then you will need to learn DL.
Can I learn AI on my own?
Yes, you can learn AI on your own.
There are many resources available online, such as tutorials, books, and courses.
What is the future of AI, ML, and DL?
The future of AI is hard to predict. However, it is clear that AI will continue to be an important field of research and development.
ML and DL will also continue to be important, as they are essential for building AI applications.