Al evaluar las dos soluciones, los revisores encontraron que Dataiku es más fácil de usar. Sin embargo, python-recsys es más fácil de configurar y administrar. Además, prefirieron hacer negocios en general con python-recsys.
Dataiku ofrece una interfaz muy limpia, intuitiva y fácil de usar con funcionalidad para ingeniería de datos, análisis de datos y visualización de datos. Las recetas visuales específicamente y la capacidad de transformar datos sin escribir código es la...
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started. Lastly, my team found that the performance can be sluggish with large datasets.
If you are comfortable with Python, using this for recommendation engines will be easy. Accommodates a variety of algorithm types including classification recommendations, popularity based and recall.
There can be some issues that arise when dealing with very big data.
Dataiku ofrece una interfaz muy limpia, intuitiva y fácil de usar con funcionalidad para ingeniería de datos, análisis de datos y visualización de datos. Las recetas visuales específicamente y la capacidad de transformar datos sin escribir código es la...
If you are comfortable with Python, using this for recommendation engines will be easy. Accommodates a variety of algorithm types including classification recommendations, popularity based and recall.
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started. Lastly, my team found that the performance can be sluggish with large datasets.
There can be some issues that arise when dealing with very big data.