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Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for Effective Learning /
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Integrated Series in Information Systems,
36 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Science of Information
- Part I Understanding Big Data
- Big Data Essentials
- Big Data Analytics
- Part II Understanding Big Data Systems
- Distributed File System
- MapReduce Programming Platform
- Part III Understanding Machine Learning
- Modeling and Algorithms
- Supervised Learning Models
- Supervised Learning Algorithms
- Support Vector Machine
- Decision Tree Learning
- Part IV Understanding Scaling-Up Machine Learning
- Random Forest Learning
- Deep Learning Models
- Chandelier Decision Tree
- Dimensionality Reduction.