Machine Learning for Engineers
Autor Osvaldo Simeoneen Limba Engleză Hardback – 2 noi 2022
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Specificații
ISBN-13: 9781316512821
ISBN-10: 1316512827
Pagini: 450
Dimensiuni: 209 x 261 x 38 mm
Greutate: 1.43 kg
Ediția:Nouă
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 1316512827
Pagini: 450
Dimensiuni: 209 x 261 x 38 mm
Greutate: 1.43 kg
Ediția:Nouă
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
Part I. Introduction and Background: 1. When and how to use machine learning; 2. Background. Part II. Fundamental Concepts and Algorithms: 3. Inference, or model-driven prediction; 4. Supervised learning: getting started; 5. Optimization for machine learning; 6. Supervised learning: beyond least squares; 7: Unsupervised learning. Part III. Advanced Tools and Algorithms: 8. Statistical learning theory; 9. Exponential family of distributions; 10. Variational inference and variational expectation maximization; 11. Information-theoretic inference and learning; 12. Bayesian learning. Part IV. Beyond Centralized Single-Task Learning: 13. Transfer learning, multi-task learning, continual learning, and meta-learning; 14. Federated learning. Part V. Epilogue: 15. Beyond this book.
Notă biografică
Descriere
This self-contained introduction contains all students need to start applying machine learning principles to real-world engineering problems.