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Epic Review

2

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Very good

Revainrating 4.5 out of 5Β Β 
RatingΒ 
4.6
Artificial Intelligence, Conversational Intelligence

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Description of Epic

Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

Reviews

Global ratings 2
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Type of review

The flexibility of defining new features using just code instead of writing out rules makes it easy to add more options without changing other parts that are already working well! Also there's no need to use expensive libraries like Apache Beam or Spark when you don't have too much data; all calculations can be done locally which results into better scalability as compared against distributed frameworks (like Cloud Dataflow). I dislike how slow things get once we start adding many different…

Pros
  • Flexibility in building complex pipelines for training
  • Ease with customizing pipeline steps, allowing developers complete freedom over what is being trained.
  • Easy deployment onto cloud services

I like how it's easy to get started right away using this toolkit without having any programming background at all - just upload your data (eg csv) files! It also has great tutorials that are very helpful even if you're not experienced user of R or Python/Scala as well. Support from support@epiclabsolutions was quite prompt when we had issues while getting our code working properly within their API environment. We used epics mainly for feature extraction but now have moved towards machine…

Pros
  • It's easy to use and it's a great toolkit for getting started quickly
Cons
  • Great platform for creating predictive analytics solutions quickly by leveraging existing datasets available through popular APIs such as Google Analytics