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H2O.ai VS ML.NET

Compare H2O.ai VS ML.NET and see what are their differences

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H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

ML.NET logo ML.NET

Machine Learning framework by Microsoft in .net framework and C#.
  • H2O.ai Landing page
    Landing page //
    2023-10-25
  • ML.NET Landing page
    Landing page //
    2023-03-01

H2O.ai videos

+ Add

[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

ML.NET videos

+ Add

Announcing ML.NET 2.0 | .NET Conf 2022

More videos:

  • Review - ML.NET Model Builder: Machine learning with .NET
  • Review - What's New in ML.NET 2.0

Category Popularity

0-100% (relative to H2O.ai and ML.NET)

H2O.ai

ML.NET

Data Science And Machine Learning
86 86%
Data Science And Machine Learning
14% 14
AI
83 83%
AI
17% 17
Machine Learning
81 81%
Machine Learning
19% 19
Business & Commerce
100 100%
Business & Commerce
0% 0

Questions and Answers

As answered by people managing H2O.ai and ML.NET.

What makes your product unique?

H2O.ai's answer

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using H2O.ai and ML.NET. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare H2O.ai and ML.NET

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
Source: www.datamation.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...
Source: solutionsreview.com

ML.NET Reviews

We have no reviews of ML.NET yet.
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Social recommendations and mentions

Based on our record, ML.NET should be more popular than H2O.ai. 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.

H2O.ai mentions (1)

  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / almost 3 years ago

ML.NET mentions (2)

  • what is the future of ML.NET?
    Documentation - You can find tutorials and how-to guides in our documentation site. Probably the easiest way to get started is with the Model Builder extension in Visual Studio. Here's install instructions and a tutorial to help you start out. Source: almost 2 years ago
  • What is the best way to get started with AI and ML in C#?
    I would start right here- ML.Net Documentation. Source: almost 3 years ago

What are some alternatives?

When comparing H2O.ai and ML.NET, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

R Caret - Documentation for the caret package.

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

R MLstudio - The ML Studio is interactive for EDA, statistical modeling and machine learning applications.

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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