If you're interested in the field of artificial intelligence (AI), it's important to understand that machine learning is a subfield of AI. Therefore, it would be advisable to learn machine learning before diving into broader AI concepts.
Machine learning involves developing algorithms and models that enable computer systems to learn and make predictions or decisions based on data. It is a fundamental aspect of AI and forms the basis for many AI applications. By learning machine learning, you'll gain a strong foundation in the techniques and algorithms used to train models on data.
Once you have a solid understanding of machine learning, you can then expand your knowledge to other areas within AI, such as natural language processing, computer vision, robotics, and expert systems. These areas often build upon machine learning techniques but also incorporate additional concepts and algorithms specific to their respective domains.
In summary, learning machine learning first will provide you with the necessary foundation to explore and understand the broader field of AI.
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