Week 1 - Microsoft AI for Beginners lessons 1-2
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Course reference
This page shows where outside material enters the course, what Robotnix changed, and what each source does not authorize. Lessons link here instead of dropping licensing notes into the middle of instruction.
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Two complete upstream English lessons, presented in their original approved migration sequence.
Sources: AI for Beginners
Robotnix-original supervised-learning chapter and local threshold experiment, with Microsoft ML for Beginners used as background verification only.
Sources: Machine Learning for Beginners
Robotnix-original model-evaluation chapter and local threshold comparison. Microsoft ML for Beginners and Google MLCC verify confusion-matrix and metric concepts; no source visual, dataset, widget, exercise, prose, or code is imported.
Sources: Machine Learning for Beginners, Machine Learning Crash Course
Robotnix-original clustering chapter and local representation comparison. Microsoft ML for Beginners verifies unlabeled grouping, distance, centroid iteration, and evidence limits; no source dataset, notebook, visual, exercise, prose, or code is imported.
Sources: Machine Learning for Beginners
Robotnix-original system-architecture chapter and local failure-injection comparison. Google Production ML Systems and Microsoft EdgeAI verify component, monitoring, serving, fallback, and local-inference boundaries; no source diagram, example, interface, model, exercise, prose, code, or asset is imported.
Sources: Machine Learning Crash Course, EdgeAI for Beginners
Robotnix-original edge deployment chapter and deterministic profile comparison. Microsoft EdgeAI and Stanford EE292D verify placement, latency, memory, offline, and quality tradeoff boundaries; no source procedure, benchmark, interface, prose, code, model, dataset, or asset is imported.
Robotnix-original synthesis capstone using only the immutable approved evidence boundaries from Weeks 13-17. It adds a deterministic system-defense dossier, claim audit, and original visuals without modifying approved learner files or importing a new external source.
Sources:
MIT License
Microsoft and the upstream contributors
33e781bf7bfb9b39fd27c4e4a3e592669b52cb4bMIT License
Microsoft and upstream contributors
d0d0ea2b2d22cddca31f9c6d108df7daa87a1b46CC BY 4.0 page content; Apache 2.0 code samples
MIT License
Microsoft and upstream contributors
05d7c7ef90ac647ff3afc3a878281a848d5ca47aApache License 2.0
Stanford EE292D
c0a078015c9175a089c43f94441e65aa5167af25