Software Alternatives & Reviews

Apache Mahout VS GMDH Shell

Compare Apache Mahout VS GMDH Shell and see what are their differences

Apache Mahout logo Apache Mahout

Distributed Linear Algebra

GMDH Shell logo GMDH Shell

Powerful forecasting software for small businesses, traders and scientists.
  • Apache Mahout Landing page
    Landing page //
    2023-04-18
  • GMDH Shell Landing page
    Landing page //
    2023-08-04

Apache Mahout videos

Apache Mahout Tutorial-1 | Apache Mahout Tutorial for Beginners-1 | Edureka

More videos:

  • Tutorial - Machine Learning with Mahout | Apache Mahout Tutorial | Edureka

GMDH Shell videos

Time Series Forecasting with GMDH Shell

Category Popularity

0-100% (relative to Apache Mahout and GMDH Shell)
Data Science And Machine Learning
Development
100 100%
0% 0
Data Science Tools
50 50%
50% 50
Data Dashboard
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Mahout seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Mahout mentions (2)

GMDH Shell mentions (0)

We have not tracked any mentions of GMDH Shell yet. Tracking of GMDH Shell recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Mahout and GMDH Shell, you can also consider the following products

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

KNIME - KNIME, the open platform for your data.

Apache HBase - Apache HBase – Apache HBase™ Home

WEKA - WEKA is a set of powerful data mining tools that run on Java.

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.