Autonomous agent networks for task automation that requires multi-step reasoning
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Updated
Sep 1, 2025 - Python
Autonomous agent networks for task automation that requires multi-step reasoning
Self-guided tutorial on combinatorial optimization, the bin packing problem, and constructive heuristics, suitable for use as course assignments, or by self-directed learners.
Self Directed Learning With Online Resources https://westurner.org/self-directed-learning/
My Claude Code Learning Setup
A simple website for Open Learning Commons
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Slide deck for FSU Mechanical Engineering seminar: “Self-Directed Learning for MechE Problem-Solving”
Presentation slide deck for AECT 2025 - "Game Developers Leveling Up: New Insights into Self-Directed Learning"
Presentation slide deck for 39th International Self-Directed Learning Symposium, 2026 - "Self-Directed Learning: Historical Retrospective of a Concept"
Learning HTML, CSS during Y1S1 holidays
RECAST group website
A hands-on, block-based journey to becoming a Human-Centered Machine Learning Engineer — with clean code, real data, and practical insight.
Slide deck for presentation at LearnTech Initiative AFRICA's EDVOLUTION Summit 2024: “Self-Directed Learning for Navigating Change and Innovation”
Presentation slide deck for 38th International Self-Directed Learning Symposium, 2025 - "Game Developers’ Self-Directed Learning to Navigate a Volatile Industry"
Personal, governed learning system for building AI fundamentals and applications in finance — learning in public.
Slide deck for ISSDL webinar at FSU: Self-Directed Learning Spanning Contexts
Synthora is an experimental neural architecture exploring the potential of self-observation and emergent awareness in digital environments. It is a process where intelligence unfolds not as a task, but as a form of presence.
A collection of summaries and reflective notes from molecular biology courses, including genetics, epigenetics, gene regulation, genome interpretation, stem cells and RNA biology, designed to strengthen fundamental knowledge and bridge classical molecular biology with modern applications in cancer research and bioinformatics.
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