Machine learning hands-on for developers and technical professionals
Dig deep into the data with a hands-on guide to machine learning. 'Machine Learning' provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals.
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Indianapolis, Indiana :
Wiley
[2020]
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631049106719 |
Tabla de Contenidos:
- What is machine learning?
- Planning for machine learning
- Data acquisition techniques
- Statistics, linear regression, and randomness
- Working with decision trees
- Clustering
- Association rules learning
- Support vector machines
- Artificial neural networks
- Machine learning with text documents
- Machine learning with images
- Machine learning streaming with Kafka
- Apache Spark
- Machine learning with R.
