Ensemble learning for AI developers : learn bagging, stacking, and boosting methods with use cases /
Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn how to change training data using baggin...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Kumar, Alok (Autor), Jain, Mayank (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress,
2020.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Quantum machine learning with Python : using Cirq from Google Research and IBM Qiskit /
por: Pattanayak, Santanu
Publicado: (2021) -
Securely leverage open-source software with Python AI toolkit for IBM z/OS /
por: Bostian, Joe, et al.
Publicado: (2023) -
Supervised learning with Python : concepts and practical implementation using Python /
por: Verdhan, Vaibhav
Publicado: (2020) -
Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
por: Zaccone, Giancarlo
Publicado: (2018) -
Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
por: Zaccone, Giancarlo
Publicado: (2018)