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Your supervisor asked you to use machine learning.
Start here — free.
Get Module 1 of the course (Machine Learning for Physicists) plus a one-page Roadmap: the exact path from where you are now to a result your collaboration will trust, and the 5 mistakes that get analyses bounced in review.
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Module 1 Workbook — Machine Learning for Physicists
The actual first module of the course. Machine-learning ideas mapped to physics you already own: the inputs are just observables, the balance between too-simple and too-complex is the same tension you manage every time you pick how many parameters a fit gets, and your chi-squared fit is already a model.
The Roadmap (one page)
The six stages from where you are now to a finished, defensible analysis — orient, frame, build, train, apply, check — plus the five mistakes reviewers look for every time (a model that memorised its training data, data and simulation that disagree, testing on the same events you trained on, tuning your selection on the very data you measure, and systematic uncertainties you forgot to carry through).
Sound familiar?
Your supervisor said "use machine learning in your analysis." You have spent weeks across 15 GitHub repos, three tool tutorials, and a 200-page manual. Your results still look wrong, and the review committee meets in a few months.
You do not need another lecture recording or another scattered notebook. You need the path — in order — and someone to name the pitfalls before you fall into them.
The science is the proof
Machine learning is not a fashion. On the kind of signal-versus-background problems physicists face every day, it keeps far more of the signal you care about while throwing away more of the background — a large, measurable gain over hand-tuned cuts (Roe et al., NIM A 543 (2005) 577–584). The same methods have topped open physics challenges, including the Higgs Machine Learning Challenge, where thousands of teams competed to pull a real signal out of simulated LHC data (Chen & Guestrin, KDD 2016; Adam-Bourdarios et al., JMLR W&CP 42 (2015)).
Start with the free Module 1 and the Roadmap. If it clicks — and for most physicists it does — you will know exactly where to go next.
Get your free copy now
Ready to go the whole way?
The free Module 1 gets you oriented. The complete course walks all six stages end-to-end — from first principles to a result your review committee signs off on.
See the Complete Course — $97 →