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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kumar, Alok (Autor), Jain, Mayank (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, 2020.
Temas:
Ensemble learning (Machine learning)
Artificial intelligence.
Python (Computer program language)
Open source software.
Computer programming.
Artificial Intelligence
Intelligence artificielle.
Python (Langage de programmation)
Logiciels libres.
Programmation (Informatique)
artificial intelligence.
computer programming.
Programming & scripting languages: general.
Computer programming > software development.
Computers > Programming Languages > Python.
Computers > Programming > Open Source.
Computers > Intelligence (AI) & Semantics.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Why Ensemble Techniques Are Needed
  • Chapter 2: Mix Training Data
  • Chapter 3: Mix Models
  • Chapter 4: Mix Combinations
  • Chapter 5: Use Ensemble Learning Libraries
  • Chapter 6: Tips and Best Practices.-

Ejemplares similares