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Amie Review

2

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Very good

Revainrating 4.5 out of 5  
Rating 
4.4
Artificial Intelligence, Data Science and Machine Learning

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Description of Amie

graph‐based notebook for data scientists and researchers

Reviews

Global ratings 2
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  • 4
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  • 3
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  • 2
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Type of review

Revainrating 4 out of 5

amies - a simple tool for machine learning and making pretty graphs in a click! (data scientist)

The most fascinating part about amies is its ability to make our work easy & efficient as well at making it look pretty by generating good graphs using only one click! I wish that this service had more integrations with other tools so we don't have many dependencies - but if you want, they can provide those too! They're very helpful in designing/creating graphics from your own inputs which allows us (data scientist) focus entirely upon building statistical models / hypothesis testing etc. I…

Pros
  • Easy interface
  • Very fast processing times compared others
  • Great community support available via slack or email.
  • Open source framework makes developing custom solutions possible when needed :)
Cons
  • There aren’t enough tutorials out there yet.
  • Data science libraries still lack documentation

Revainrating 5 out of 5

Useful for data science and Machine Learning

I like that it is easy to use, can be used in conjunction with other tools (such as R), has great integration options into Jupyter notebooks so you don't have duplicate code/code files etc., supports many languages- Python being one of them! - It's not free which makes me feel uncomfortable about using this product but if your budget allows then do go ahead otherwise there are plenty more products out their or even self hosted versions available online at no cost too!! Support ticketing system…

Pros
  • Ease usage for data scientists & engineers alike due its user friendly interface making coding fast&easy without requiring any special training courses just get started straight away!, ) Can handle large datasets easily because all results come back quickly once running queries against databases such Amazon Redshift,.etc.and also able integrate seamlessly alongside existing pipelines written inside Jenkins server environment .Integration capabilities between amiE+RStudio Server