To become an expert in the field, it is important to have a solid understanding of the underlying mathematical and computational concepts, such as probability theory, linear algebra, and optimization. Additionally, practical experience is key, so hands-on projects and coding experience will be very helpful.
Some resources you can use to learn more about AI include online courses, books, and research papers. Some popular online courses include the AI courses offered by Coursera, edX, and Udemy. Books such as “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig and “Deep Learning” by Yoshua Bengio, Ian Goodfellow, and Aaron Courville are also great resources.
It is also important to stay current with the latest developments in the field by following industry leaders and reading research papers in AI journals. The conference NeurIPS and ICML is also a great place to learn about the latest research.
Keep in mind that it takes time and dedication to become an expert in any field. But with hard work, perseverance, and access to the right resources, you can become proficient in AI.