---
description: h2o : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités.
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title: h2o - Avis, notes, prix et abonnements - Capterra Canada 2026
---

Breadcrumb: [Accueil](/) > [Outils d'apprentissage automatique](/directory/31103/machine-learning/software) > [h2o](/software/158760/h2o)

# h2o

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> Solution d'intelligence artificielle et de machine learning basée sur le web qui permet aux entreprises d'utiliser des algorithmes, l'autoML, la détection des fraudes, la gestion des réclamations, etc.
> 
> Conclusion : 10 utilisateurs lui ont donné la note de **4.6/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise h2o?

Solution de machine learning en open source pour aider les entreprises en gérant la publicité en ligne, la gestion des réclamations, la détection des fraudes, une analytique avancée et plus encore.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.6/5** | 10 Avis |
| Simplicité | 4.1/5 | D'après l'ensemble des avis |
| Support client | 4.1/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.6/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.1/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) |

## À propos du vendeur

- **Entreprise**: H2O.ai
- **Pays**: Mountain View, É.-U.
- **Fondé**: 2011

## Contexte commercial

- **Public cible**: Travailleur autonome, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+
- **Déploiement et plateformes**: Windows (ordinateur)
- **Langues**: anglais
- **Pays disponibles**: États-Unis

##  Fonctionnalités

- Artificial Neural Networks
- Bibliothèque d'algorithmes de ML
- Deep learning
- Modèle de formation
- Modélisation prédictive
- Traitement automatique du langage naturel
- Visualisation

## Category

- [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software)

## Catégories connexes

- [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software)
- [Logiciels de deep learning](https://fr.capterra.ca/directory/31104/deep-learning/software)

##  Logiciels similaires

1. [Anaconda](https://fr.capterra.ca/software/191760/anaconda) — 4.6/5 (86 reviews)
2. [NVIDIA GPU Cloud (NGC)](https://fr.capterra.ca/software/171055/digits) — 4.5/5 (25 reviews)
3. [Valohai](https://fr.capterra.ca/software/179657/valohai) — 4.8/5 (8 reviews)
4. [Wolfram Mathematica](https://fr.capterra.ca/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews)
5. [PaleBlue](https://fr.capterra.ca/software/178364/paleblue) — 4.6/5 (5 reviews)

## Avis

### "Effective tool to gain AI insights" — 4.0/5

> **Pranamesh** | *28 mars 2018* | Enseignement supérieur | Taux de recommandation : 9.0/10
> 
> **Avantages**: The tool is very easy to install. Also, the interface is user-friendly. Can handle a lot of machine learning tools. Very handy tool for running quick analysis too.
> 
> **Inconvénients**: The documentation can be improved substantially. Also, more authority can be given to user to tweek models as per requirement.

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### "Great at making machine learning accessible" — 5.0/5

> **Utilisateur vérifié** | *17 février 2019* | Enseignement supérieur | Taux de recommandation : 8.0/10
> 
> **Avantages**: For the machine learning algorithms built into the program, they are incredibly optimizable.  Every parameter and hyperparameter of each algorithm is tuneable, and the GUI allows all of this as well.
> 
> **Inconvénients**: Programmatically using the software is difficult because the documentation is lacking and it is hard to find the documentation that they do have. It’s easier to use the GUI, but that isn’t good for an end-to-end solution.

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### "H2O is value use fully for artificial intelligence." — 4.0/5

> **gaurang** | *16 juin 2017* | Services d'information | Taux de recommandation : 7.0/10
> 
> **Avantages**: Mostly ai can use or automation work. and  H2O.ai is a Strong Performer in Predictive Analytics and Machine Learning.
> 
> **Inconvénients**: In this software main part is use of that software.  H2O not user friendly that way user think for uses.
> 
> H2O is a Strong Performer in Predictive Analytics and Machine Learning.

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### "Quickly build, train and tune your models" — 4.0/5

> **Utilisateur vérifié** | *27 mai 2019* | Banque | Taux de recommandation : 9.0/10
> 
> **Avantages**: I really like H2O machine learning and deep learning algorithms. I use its GUI for preprocessing and analyzing data. I can choose easily model type and tune it via options. It is really fast and run on really low memory like 2 GB. I have learn lotta new information about ML and deep learning thanks to H2O's help buttons.
> 
> **Inconvénients**: Some model parameters can not be changed. Also I dom't like its preprocessing process. It misreads some characters for some file types.
> 
> Almost every model I have built, firstly I give a chance to H2O and see basic outcomes. After that, I switch to Python and manually build, tune, train and test my models.

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### "Mr" — 5.0/5

> **Somnath** | *30 avril 2018* | Logiciels | Taux de recommandation : 10.0/10
> 
> **Avantages**: This is easy to use. I can quickly run a lot of well known algorithms without having to code anything at all. The open source nature helps too.
> 
> **Inconvénients**: The docume.ntation can be improved substantially. Also, need to provide the ability to tweak some algorithms.
> 
> Ran analysis on the data quickly and without having to code anything.

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## Liens

- [Afficher sur Capterra](https://fr.capterra.ca/software/158760/h2o)

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