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A crash course on the technical gaps that prevent most professionals from understanding AI and machine learning at a meaningful level. Covers neural network fundamentals, transformer architecture, reinforcement learning, adaptive systems, and why traditional education fails to teach these concepts. Built for the H2E Association community.
A crash course on the Human-to-Expert (H2E) Engineering Framework — the adaptive intelligence layer that governs how AI systems learn, adapt, and respond to individual humans. Covers SROI, NEZ, IGZ, and V-RIM. Co-authored by Wilson Guenther and Frank Morales (Boeing Fellow). NeurIPS 2026 submission.
This beginner-friendly investing course is designed to provide a clear and structured approach to understanding and engaging in investing. Participants will learn foundational concepts, portfolio building, and long-term wealth strategies without the overwhelm of complex jargon.
This course offers a comprehensive introduction to day trading and swing trading, focusing on key concepts like higher highs, lower lows, support and resistance, and the differences between trading styles. By the end of the course, participants will be equipped to make informed trading decisions in various markets including stocks, metals, and crypto.