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Conjecture

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11 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.3
Serving customers since
2018

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Star Rating

6
4
1
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Conjecture Reviews

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Profile Name
Star Rating
6
4
1
0
0
Cansel D.
CD
Cansel D.
ECI Software Solutions şirketinde Assistant It Manager
09/18/2023
Validated Reviewer
Review source: Organic Review from User Profile

Easy to use and manage big data.

It is readily comprehensible and accesible for developers of all levels. The foremost feature worth highlighing is its user friendliness. It proves to be an outstanding machine learning tool for integration into your projects.
Diwakar S.
DS
Diwakar S.
Lead Software Engineer at Fidelity Investments
05/04/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Go to machine learning framework

Helps in managing the large amounts of data. In my team we have integrated it with Hadoop which makes it easier to handle enormous amount of data and it can be easily connected with ETL procedures. Testing and deploying the model is quite easy.
alka b.
AB
alka b.
Merchandiser
04/10/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Provides a good machine learning framework.

It's has given an easy and understandable framework to use. Ease of use and combination of hadoop and scalding is the best feature that I would like to mention. It helps in mangaing big amount of data.

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HQ Location:
Perth, Australia

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What is Conjecture?

Conjecture, hosted on GitHub at https://github.com/etsy/Conjecture, is an open-source project developed by Etsy. It provides a scalable machine learning framework specifically designed for handling massive-scale learning tasks. The focus of Conjecture is to offer robust, distributed machine learning algorithms that can process and analyze large datasets effectively. This framework is particularly useful for businesses and developers looking to implement machine learning capabilities into their applications to enhance decision-making and provide predictive insights based on vast amounts of data. Conjecture supports various machine learning models and is engineered to integrate seamlessly into large, complex technology ecosystems. This tool is valued for its scalability, flexibility, and efficiency in handling big data machine learning challenges.

Details

Year Founded
2018
Website
github.com