Probabilistic Machine Learning : An Introduction /
Contiene: 1) Fundamentos; 2) Modelos lineales; 3) Redes neuronales profundas; 4) Modelos no paramétricos; 5) Más allá del aprendizaje supervisado.
Gorde:
| Egile nagusia: | |
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| Formatua: | Liburua |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cambridge, EUA :
Massachusetts Institute of Technology,
2022, c2022
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| Saila: | (Adaptive Computation and Machine Learning)
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| Gaiak: | |
| Sarrera elektronikoa: | Ver documento en línea |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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Antzeko izenburuak: Probabilistic Machine Learning :
- An Introduction to Machine Learning /
- Hands-On Machine Learning with R /
- Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
- Machine Learning : A Bayesian and Optimization Perspective /
- Probabilistic Machine Learning : Advanced Topics /
- An Introduction to Generalized Linear Models /