Karol Przystalski
where else to find them
speakerdeck:kprzystalski
what they talk about
where they keep going back
- 4Developers Online2 editions2020–2022
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Kesha Williams7 talks
- Abraham Kang5 talks
- Tess Ferrandez-Norlander24 talks
- Jigyasa Grover8 talks
- Michelle Frost7 talks
- Joshua Arvin Lat20 talks
| title | conference | date |
|---|---|---|
| Explainable Machine Learning Explained | Big Data Conference Europe 2022 | 2022-11-23 |
Claims: convolutional models reach ~90% on image tasks but learn spurious cues (husky/wolf uses snow), and FDA needs explainability for MedTech. Tools shown… | ||
| Avoid mistakes building AI products | DSC Europe 2022 | 2022-11-14 |
Claims that 85% of AI projects fail and ten case studies show why: dataset bias makes a husky be identified by snow background, a Tesla crash traces to… | ||
| JavaScript Beats Cancer | JSNation Conference 2022 | 2022-06-16 |
This talk discusses using JavaScript to combat skin cancer, with a focus on machine learning integration. The speaker has experience in medical imaging and has… | ||
| JavaScript beats cancer | 4Developers 2022 Online | 2022-04-04 |
Claims that JavaScript can run a clinically useful melanoma detector using TensorFlow.js with Keras-trained models served via TensorFlow Serving/Kubeflow… | ||
| ML: Explainable Artificial Intelligence explained | 4Developers 2020 | 2020-09-14 |
Practical walk-through of XAI with code: scikit‑learn decision trees and logistic regression for interpretable white‑box models, Keras/TensorFlow and PyTorch… | ||
| nothing matches | ||