Data science on the Google cloud platform : implementing end-to-end real-time data pipelines: from ingest to machine learning /
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical a...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Sebastopol, CA :
O'Reilly Media,
2018.
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Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Making better decisions based on data
- Ingesting data into the cloud
- Creating compelling dashboards
- Streaming data: publication and ingest
- Interactive data exploration
- Bayes classifier on cloud dataproc
- Machine learning: logistic regression on Spark
- Time-windowed aggregate features
- Machine learning classifier using TensorFlow
- Real-time machine learning.