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Público·15 membros The Ultimate Machine Learning Platform - Download Now

Download The #1 Open-Source Machine Learning Platform for the Enterprise

If you are looking for a powerful, scalable, and easy-to-use machine learning platform that can handle any data size and complexity, you should consider downloading In this article, we will introduce you to what is, why you should use it, how to download and install it, how to get started with it, and how to get support and resources for it. By the end of this article, you will have a clear idea of how can help you democratize AI and accelerate innovation in your organization.

What is is the visionary leader in democratizing AI. It is an open-source machine learning platform that supports the most widely used statistical and machine learning algorithms, including gradient boosted machines, generalized linear models, deep learning, and more. It 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. You can access from R, Python, Flow (a web-based graphical user interface), or any other data source into its in-memory distributed key-value store. You can also deploy your models quickly and easily with Java (POJO) and binary formats (MOJO).


The vision and mission of was founded by a group of like-minded individuals in the open-source community who were driven by the idea that there should be freedom around the creation and use of AI. Today, it has evolved into a global company that partners with business customers, academia, and non-profit organizations to make, operate, and innovate with AI. The core values of are community-powered, freedom to innovate, customer empathy, and do good. The ultimate goal of is to enable everyone to harness the power of AI for positive impact.

The features and benefits of has many features and benefits that make it a superior machine learning platform for the enterprise. Some of them are:

  • It is fully open source, so you can use it for free and contribute to its development.

  • It is distributed and in-memory, so you can scale up to handle large data sets and complex models.

  • It supports leading algorithms, so you can choose from a wide range of options for your data science tasks.

  • It has AutoML, so you can automate the tedious parts of machine learning and focus on the business problems.

  • It has simple deployment, so you can put your models into production with minimal effort.

The use cases and success stories of has been used by over 20,000 organizations around the world for various use cases such as fraud detection, customer churn prediction, sentiment analysis, demand forecasting, image recognition, natural language processing, and more. Some of the success stories of include:

  • PayPal used to build a fraud detection system that reduced false positives by 54%.

  • used to improve their hotel ranking algorithm by 15%.

  • NVIDIA used to optimize their GPU performance by 50%.

Capital One used to enhance their credit risk modeling by 20 How to download and install

Downloading and installing is very easy and fast. You can choose from different options depending on your preferences and needs. Here are the steps to follow:

Prerequisites and system requirements

Before you download and install, you need to make sure that you have the following prerequisites and system requirements:

  • A 64-bit operating system (Windows, Mac OS X, Linux, or Solaris).

  • A Java Runtime Environment (JRE) version 8 or later.

  • A Python version 2.7.x, 3.5.x, or 3.6.x with the requests module installed.

  • A R version 3.0 or later with the RCurl package installed.

  • At least 4 GB of RAM and 4 CPU cores for optimal performance.

Download options and steps

You can download from the official website or from GitHub. You can also use pip or conda to install the Python package, or CRAN to install the R package. Here are the download options and steps for each option:

How to download open source platform

Download for R, Python, Scala or Flow

H2O AI Cloud: download and install guide

Download documentation and tutorials

H2O AutoML: download and get started

Download enterprise support and services

H2O Sparkling Water: download and integrate with Spark

Download case studies and use cases

H2O Driverless AI: download and automate machine learning

Download community edition and join the movement

H2O Wave: download and build AI apps

Download webinar recordings and slides

H2O MLOps: download and manage machine learning models

Download white papers and ebooks

H2O Q: download and generate natural language questions

Download datasets and benchmarks

H2O Explainable AI: download and interpret machine learning models

Download blog posts and articles

H2O Time Series: download and forecast with machine learning

Download podcasts and videos

H2O Responsible AI: download and build ethical machine learning models

Download cheat sheets and reference guides

H2O Feature Store: download and manage machine learning features

Download events and meetups calendar

H2O NLP: download and analyze text with machine learning

Download awards and recognitions

H2O Computer Vision: download and process images with machine learning

Download careers and job opportunities

H2O Model Ops: download and deploy machine learning models

Download partners and customers list

H2O Tabular: download and handle structured data with machine learning

Download testimonials and reviews

H2O Geospatial: download and work with spatial data with machine learning

Download press releases and media coverage

H2O Anomaly Detection: download and identify outliers with machine learning

Download newsletters and updates

H2O Optimization: download and solve optimization problems with machine learning

Download courses and certifications

H2O Graph: download and analyze network data with machine learning

Download social media channels and follow us

H2O Reinforcement Learning: download and learn from feedback with machine learning

Download company profile and history

H2O Survival Analysis: download and model time-to-event data with machine learning

Download code of conduct and values

H2O Recommendation Systems: download and build personalized recommendations with machine learning

Download terms of service and privacy policy

H2O Fraud Detection: download and prevent fraud with machine learning

Download contact information and support options

H2O Risk Modeling: download and assess risk with machine learning




  • Go to .

  • Select the latest stable release of

  • Choose the download option that matches your operating system (zip, tar.gz, or deb).

  • Save the file to your preferred location.

  • Unzip or extract the file to a folder.


  • Go to .

  • Select the latest stable release of

  • Choose the download option that matches your operating system (zip, tar.gz, or deb).

  • Save the file to your preferred location.

  • Unzip or extract the file to a folder.


  • Open a terminal or command prompt.

  • Type pip install h2o and press enter.

  • Wait for the installation to complete.


  • Open a terminal or command prompt.

  • Type conda install -c h2oai h2o and press enter.

  • Wait for the installation to complete.


  • Open an R session.

  • Type install.packages("h2o") and press enter.

  • Select a CRAN mirror and wait for the installation to complete.

Verification and troubleshooting

After you download and install, you need to verify that it is working properly and troubleshoot any issues that may arise. Here are some tips to help you with that:

  • To verify that is running, you can open a web browser and go to . You should see the Flow user interface with the H2O logo and version number.

  • To verify that is accessible from Python, you can open a Python session and type import h2o and press enter. You should see a message that says H2O session _sid_ initialized.

To verify that is accessible from R, you can open an R session and type library(h2o) and press enter. You should see a message that says Successfully connected to

  • If you encounter any errors or issues while downloading, installing, or running, you can check the following sources for help:

  • The documentation at .

  • The FAQ at .

  • The GitHub issues at .

  • The Stack Overflow questions at .

How to get started with

Now that you have downloaded and installed, you are ready to get started with using it for your machine learning pr


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