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Buxton VS Datatron

Compare Buxton VS Datatron and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Buxton logo Buxton

Buxton is a customer analytics & predictive analytics tool for businesses.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • Buxton Landing page
    Landing page //
    2023-07-16
  • Datatron Landing page
    Landing page //
    2023-02-11

Buxton videos

+ Add

COLE BUXTON REVIEW | washed shorts & zip up hoodie

More videos:

  • Review - Cole Buxton Review + Try On — $400+ FOR SWEATS!? 🤔
  • Review - COLE BUXTON REVIEW | Size Guide & Try On Haul

Datatron videos

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Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to Buxton and Datatron)

Buxton

Datatron

Data Dashboard
65 65%
Data Dashboard
35% 35
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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What are some alternatives?

When comparing Buxton and Datatron, you can also consider the following products

crystal.io - Chat with crystal, the advisor turning your data into Artificial Intelligence powered insights. Start your premium trial for free or request a demo.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

LatentView - LatentView is a predictive analytics and enterprise decision management services pro.vider

MCenter - Machine Learning Operationalization

Kalibrate Location Intelligence - Find the best markets to focus your investment, rightsize your portfolio, discover where your customers are, and much more.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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