Software Alternatives, Accelerators & Startups

Explorium VS Crowd AnalytiX

Compare Explorium VS Crowd AnalytiX and see what are their differences

Explorium logo Explorium

Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.

Crowd AnalytiX logo Crowd AnalytiX

Crowd AnalytiX is a data science community and a perfect solution for businesses that want to take advantage of AI but don’t have the in-house expertise or resources.
  • Explorium Landing page
    Landing page //
    2023-08-25
Not present

Explorium videos

Introducing Explorium: The External Data Platform

More videos:

  • Review - Explorium External Data Platform for Fintech
  • Review - Explorium Starters in 2 mins

Crowd AnalytiX videos

No Crowd AnalytiX videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Explorium and Crowd AnalytiX)
Development
47 47%
53% 53
Education & Reference
46 46%
54% 54
Online Learning
54 54%
46% 46
Education
35 35%
65% 65

User comments

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What are some alternatives?

When comparing Explorium and Crowd AnalytiX, you can also consider the following products

Colaboratory - Free Jupyter notebook environment in the cloud.

DataSource.ai - Community-funded data science tournaments

Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet

Machine Hack - Machine Hack is the Machine Learning competition and assessment platform that makes it easy for data scientists, engineers, and business professionals to learn, compete, and get hired.

Infosec Skills - Infosec Skills is technical expertise and engineering development knowledge-building platform where engineers and technical experts can come together to share and learn about the latest security development techniques and strategies.

Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.