But it is important to get a good overall understanding of AI so that you can make connections and build diversifiable skills. It's also important to learn the maths - ensure your calculus is solid.
Places to learn:
YouTube
- Statquest (statistics, machine learning and maths) https://www.youtube.com/@statquest
- Deeplizard (deep learning) https://www.youtube.com/@deeplizard
- Advanced Reinforcement Learning from UCL and Deepmind (https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItl...)
- Sentdex NNFS (https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2Dx...)
Online Courses
- HuggingFace courses - https://huggingface.co/learn
- Kaggle courses - https://www.kaggle.com/learn
Keep up with AI News
- The AI Timeline (Email Newsletter) - https://mail.bycloud.ai/subscribe
- Signal to Noise (Email Newsletter) - https://signaltonoise.beehiiv.com/
I've also created a whistle-stop tour of AI - from programming and computer science fundamentals to neural networks as fast as possible - https://www.youtube.com/playlist?list=PLa7EPoQlhRilFR5KN0i1_...
If there are any fields or applications people are particularly interested in, feel free to comment below.