Michał Łusiak
where else to find them
what they talk about
where they keep going back
- DevConf2 editions2018–2019
all 6 in the filters
on a stage with
never shared a talk
who talks about the same things
- Spela Poklukar4 talks
- Barbara Fusinska10 talks
- Andrei Varanovich2 talks
- Łukasz Gebel5 talks
- Sudipta Mukherjee3 talks
- Katya Mustafina2 talks
| title | conference | date |
|---|---|---|
| Predicting F1 Race Strategies using ML.NET | Copenhagen Developers Festival 2023 | 2023-08-28 |
Attempts to predict F1 stint lengths using ML.NET regression with initial ~230 manually entered rows then moved to an Ergast/Python pipeline producing 4,000+… | ||
| Solving 3 business problems in 45 minutes using ML.NET | 4Developers 2021 | 2021-05-24 |
Shows concrete ML.NET recipes: linear regression for taxi/fare and bike demand, matrix factorization recommender that runs offline and yields 27% sales uplift… | ||
| Solving 3 business problems with ML.NET in 45 minutes | Build Stuff 2020 | 2020-11-11 |
Shows concrete use of ML.NET to build three production-ready pipelines: a regression model for demand/sales prediction (trained with normalized features… | ||
| How to Use Machine Learning and .NET to Write Crushing Metal Riffs | DevConf 2019 | 2019-09-25 |
Hands-on experiment trains a sequence model on roughly 200 short riffs from Metallica, Slayer and Anthrax converted to a six-string fret/time token format… | ||
| How to use ML NET to write crushing metal riffs | NDC Oslo 2019 | 2019-06-17 |
Uses ML.NET tooling where possible but trains the generation model in TensorFlow + Keras because ML.NET cannot import the saved model reliably; attempts to… | ||
| Developer Accessible Machine Learning | NDC Copenhagen 2019 | 2019-03-27 |
Builds a linear regression on the UCI wine CSV using just one feature (alcohol), implements prediction and cost (MSE) in F sharp with an interactive REPL and F… | ||
| N Ways to Do Machine Learning on .NET | DevConf 2018 | 2018-09-26 |
Compares concrete .NET options for building models: coding linear regression from scratch (about 100 lines of F# or ~250 lines of C#), using… | ||
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