This repository provides a comprehensive learning path for becoming a research scientist focused on deep learning and NLP. It covers mathematical prerequisites (linear algebra, calculus, probability, optimization), progresses through machine learning fundamentals, and advances to deep learning, reinforcement learning, and natural language processing. The guide offers both bottom-up (theory-first) and top-down (hands-on-first) learning approaches.