math:

• Algebra
• probability
• statistics
• linear algebra

building experience in end to end projects

published papers in the field.

AI literature ???

data-ethics ?

• bias,
• fairness,
• feedback loops, and
• the risks of over emphasizing metrics.

independent researcher ?

• read standard textbooks (machine learning, optimization, statistics etc.)

• implement the latest papers of your interest

physics and "maybe biology"