CS Student Shares Step-by-Step Public Roadmap for Learning AI From Scratch

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A B.Tech Computer Science (AI) student has published a personal learning roadmap documenting their structured approach to studying Artificial Intelligence. Feeling overwhelmed by the volume of available resources, the student chose to focus on building foundational skills in Python, C++, and mathematics before advancing to Machine Learning concepts. The roadmap prioritizes core areas including linear algebra, probability, statistics, and data handling tools such as NumPy and Pandas. Rather than simply using ML libraries, the student aims to understand the underlying algorithms covering supervised learning, regression, classification, and model evaluation. The roadmap is being shared publicly to document progress, record what works, and track how understanding evolves over time.

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