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A Blueprint for Trustworthy Machine Learning
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This video segment explains empirical risk minimization as a main paradigm for the design of ML methods.
Keywords
- Empirical Risk
- Training
- Optimization
- Overfitting
- Law of Large Numbers
- Random Variables
- i.i.d.
About this video
- Author(s)
- Alexander Jung
- First online
- 25 December 2022
- DOI
- https://doi.org/10.1007/978-981-19-9711-2_6
- Online ISBN
- 978-981-19-9711-2
- Publisher
- Springer, Singapore
- Copyright information
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023