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Where should I start if I'm interested in becoming an AI researcher?
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If you're interested in becoming an AI researcher, there are several steps you can take to get started:

Develop a strong foundation in computer science and mathematics: AI research requires a solid understanding of computer science, programming, algorithms, and mathematical concepts such as linear algebra, calculus, and statistics.

Get familiar with AI technologies and tools: Read up on machine learning, deep learning, natural language processing, computer vision, and other AI technologies. Learn how to use AI frameworks such as TensorFlow, PyTorch, and Keras.

Start experimenting with AI projects: Try building simple AI projects using online tutorials, open-source code, or AI development platforms such as Google Colab or Kaggle. This will help you gain practical experience and develop your skills.

Participate in AI communities and events: Join online communities such as Reddit's Machine Learning subreddit, attend AI conferences and meetups, and participate in hackathons and competitions.

Pursue a degree in computer science, AI, or a related field: While not strictly necessary, a degree can provide you with a strong foundation in AI research, access to cutting-edge research, and networking opportunities.

Consider pursuing a graduate degree: Many AI researchers have a master's or PhD in computer science or a related field.

Remember, becoming an AI researcher requires hard work, dedication, and a passion for the field. Keep learning, practicing, and experimenting, and you'll be on your way to becoming an AI researcher.