A developer has published an open textbook distilling seven years of AI/ML experience into intuition-first explanations of maths, computing, and artificial intelligence. The compendium aims to cut through dense textbook notation and hand-waving explanations that often bury core concepts.

Created initially as personal notes, the material helped friends prepare for interviews at DeepMind, OpenAI, and Nvidia, with all securing positions and performing well. The author describes it as unconventional and intuition-driven, designed for practitioners seeking deeper understanding rather than just exam survival.

The resource targets ambitious students, early-career professionals, and experts in adjacent fields looking to become skilled AI research engineers or progress to PhD studies. Rather than assuming prior knowledge, it builds concepts from the ground up with real-world context and practical applications.