H2o 简明教程

H2O Tutorial

H2O 是一个开源机器学习框架,其中包含了多种被广泛接受的 ML 算法的经过全面测试的实现。您只需要从其庞大的存储库中选取该算法,然后将其应用到您的数据集。它包含使用最广泛的统计和 ML 算法。

H2O is an open source Machine Learning framework with full-tested implementations of several widely-accepted ML algorithms. You just have to pick up the algorithm from its huge repository and apply it to your dataset. It contains the most widely used statistical and ML algorithms.

H2O 提供了一个易于使用的开源平台,可以在给定的数据集上应用不同的 ML 算法。它提供了多种统计和 ML 算法,包括深度学习。

H2O provides an easy-to-use open source platform for applying different ML algorithms on a given dataset. It provides several statistical and ML algorithms including deep learning.

在本教程中,我们将考虑一些示例,并了解如何使用 H2O。

In this tutorial, we will consider examples and understand how to go about working with H2O.

Audience

本教程旨在帮助所有致力于在大数据库上开发机器学习模型的学习者。

This tutorial is designed to help all those learners who are aiming to develop a Machine Learning model on a huge database.

Prerequisites

假设学习者对机器学习有基本了解,并且熟悉 Python。

It is assumed that the learner has a basic understanding of Machine Learning and is familiar with Python.