Wer nutzt diese Software?
Open-source machine learning solution for enterprises that helps businesses by managing digital advertising, claims management, fraud detection, advanced analytics, and more.
Durchschnittliche Bewertung10 Bewertungen
- Gesamt 4.6 / 5
- Benutzerfreundlichkeit 4.1 / 5
- Kundenservice 4.1 / 5
- Funktionen 4.1 / 5
- Preis-Leistungs-Verhältnis 4.6 / 5
- Preisinformationen Contact H2O.ai for pricing details.
- Kostenlose Version Nein
- Kostenlose Testversion Nein
Installiert - Windows
Support während der Geschäftszeiten
Angaben zum Hersteller
- Gegründet 2011
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.
- Convolutional Neural Networks
- Modellierung neuraler Netzwerke
- Deep Learning
- Prädiktives Modellieren
- Statistische / mathematische Werkzeuge
Die hilfreichsten Reviews für H2O
Bewertet am 30.4.2018
Kommentare: Ran analysis on the data quickly and without having to code anything.
Vorteile: 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.
Nachteile: The docume.ntation can be improved substantially. Also, need to provide the ability to tweak some algorithms.
Bewertet am 16.6.2017
H2O is value use fully for artificial intelligence.
Kommentare: H2O is a Strong Performer in Predictive Analytics and Machine Learning.
Vorteile: Mostly ai can use or automation work. and H2O.ai is a Strong Performer in Predictive Analytics and Machine Learning.
Nachteile: In this software main part is use of that software. H2O not user friendly that way user think for uses.
Bewertet am 17.2.2019
Great at making machine learning accessible
Vorteile: 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.
Nachteile: 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.
Bewertet am 27.5.2019
Quickly build, train and tune your models
Kommentare: 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.
Vorteile: 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.
Nachteile: Some model parameters can not be changed. Also I dom't like its preprocessing process. It misreads some characters for some file types.
Bewertet am 15.11.2018
H2O.Ai Product Review
Kommentare: The major benefit of the product in the AutoMl. It's really useful when you are trying to optimize the parameters.
AutoMl is really useful and saves hours of work.
H2O flow is easy use and it's very easy to get started using H2O flow.
There is also support for python and R
There is no feature engineering.
Depending on your data size, H2O.AI can take up lots of memory.