Machine Learning

Machine Learning

A First Course for Engineers and Scientists

Lindholm, Andreas; Schoen, Thomas B.; Wahlstroem, Niklas; Lindsten, Fredrik

Cambridge University Press

03/2022

350

Dura

Inglês

9781108843607

15 a 20 dias

880

Descrição não disponível.
1. Introduction; 2. Supervised learning: a first approach; 3. Basic parametric models and a statistical perspective on learning; 4. Understanding, evaluating and improving the performance; 5. Learning parametric models; 6. Neural networks and deep learning; 7. Ensemble methods: Bagging and boosting; 8. Nonlinear input transformations and kernels; 9. The Bayesian approach and Gaussian processes; 10. Generative models and learning from unlabeled data; 11. User aspects of machine learning; 12. Ethics in machine learning.
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