What should I learn first Machine learning or AI?

Here are some points to consider when deciding whether to learn machine learning or artificial intelligence first ¹ ² ³: - *Start with AI fundamentals*: Since machine learning is a subset of AI, it's a good idea to learn about AI first. This includes understanding human cognition, task performance, pattern recognition, decision-making, and natural language processing. - *Math and statistics skills*: You'll need math and statistics skills for both machine learning and AI. You should have a basic understanding of linear algebra, calculus, probability, and statistics. - *Programming skills*: You'll need programming skills, such as Python, Java, or Scala. You should also be familiar with machine learning frameworks, data structures, and software architecture. - *Machine learning*: Once you have a solid understanding of AI, you can move on to machine learning. This includes supervised and unsupervised machine learning, deep learning, and neural networks. - *Deep learning*: Deep learning is a subset of machine learning that uses neural networks to analyze data. You can learn about deep learning after you have a solid understanding of machine learning. - *Specialize*: You can specialize in areas like natural language processing, computer vision, or reinforcement learning. - *Practice*: Practice is essential for mastering AI and machine learning. You can work on projects, participate in competitions, or join online communities to practice your skills. read less