--- description: 검증된 사용 후기를 확인하고 h2o 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: h2o 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [기계 학습 소프트웨어](/directory/31103/machine-learning/software) > [h2o](/software/158760/h2o) # h2o Canonical: https://www.capterra.co.kr/software/158760/h2o Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/158760/h2o?page=2) > 알고리즘, AutoML, 사기 탐지, 클레임 관리 등을 통해 기업을 지원하는 웹 기반 AI 및 기계 학습 솔루션입니다. > > Verdict: Rated **4.6/5** by 10 users. Top-rated for **추천 가능성**. ----- ## Overview ### h2o은(는) 누가 사용하나요? 디지털 광고, 클레임 관리, 사기 탐지, 고급 분석 등을 관리하여 기업을 지원하는 엔터프라이즈용 오픈 소스 기계 학습 솔루션입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.6/5** | 10 리뷰 | | 사용 편의성 | 4.1/5 | Based on overall reviews | | 고객 지원 | 4.1/5 | Based on overall reviews | | 비용 대비 가치 | 4.6/5 | Based on overall reviews | | 특징 | 4.1/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: H2O.ai - **Location**: Mountain View, 미국 - **Founded**: 2011 ## Commercial Context - **Target Audience**: 자영업, 2~10, 11~50, 51~200, 201~500, 501~1,000, 1,001~5,000, 5,001~10,000, 10,000+ - **Deployment & Platforms**: Windows(데스크톱) - **Supported Languages**: 영어 - **Available Countries**: 미국 ## 특징 - Artificial Neural Networks - ML 알고리즘 라이브러리 - 딥 러닝 - 모델 학습 - 시각화 - 예측 모델링 - 자연어 처리 ## Category - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 관련 범주 - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) - [딥 러닝 소프트웨어](https://www.capterra.co.kr/directory/31104/deep-learning/software) ## 대안 1. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 2. [XLSTAT](https://www.capterra.co.kr/software/119448/xlstat) — 4.7/5 (398 reviews) 3. [DataRobot](https://www.capterra.co.kr/software/179303/datarobot) — 4.8/5 (5 reviews) 4. [vSphere](https://www.capterra.co.kr/software/93512/vmware-horizon) — 4.7/5 (433 reviews) 5. [Datalore](https://www.capterra.co.kr/software/1023000/datalore) — 4.5/5 (8 reviews) ## 리뷰 ### "Effective tool to gain AI insights" — 4.0/5 > **Pranamesh** | *2018년 3월 28일* | 고등 교육 | Recommendation rating: 9.0/10 > > **장점**: 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. > > **단점**: The documentation can be improved substantially. Also, more authority can be given to user to tweek models as per requirement. ----- ### "Great at making machine learning accessible" — 5.0/5 > **검증된 리뷰어** | *2019년 2월 17일* | 고등 교육 | Recommendation rating: 8.0/10 > > **장점**: 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. > > **단점**: 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. ----- ### "H2O is value use fully for artificial intelligence." — 4.0/5 > **gaurang** | *2017년 6월 16일* | 정보 서비스 | Recommendation rating: 7.0/10 > > **장점**: Mostly ai can use or automation work. and H2O.ai is a Strong Performer in Predictive Analytics and Machine Learning. > > **단점**: 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. ----- ### "Quickly build, train and tune your models" — 4.0/5 > **검증된 리뷰어** | *2019년 5월 27일* | 은행 | Recommendation rating: 9.0/10 > > **장점**: 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. > > **단점**: 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. ----- ### "Mr" — 5.0/5 > **Somnath** | *2018년 4월 30일* | 컴퓨터 소프트웨어 | Recommendation rating: 10.0/10 > > **장점**: 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. > > **단점**: 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. ----- Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/158760/h2o?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/158760/h2o) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | ko | | ----- ## Structured Data