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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automated-machine-learning-with-h2o/
课程评论：没有评论
课程名称：自动化机器学习与h2o 课程概述：你可曾想过有一个数据分析工具，可以自动化你的机器学习流程？这个工具只需提供数据，就能够自动选择最佳的机器学习算法，为你调优超参数，将处理时间减少超过80%！听起来像是美梦，然而，h2o包正是如此。欢迎来到本课程，我将向你展示如何使用h2o这个强大的机器学习包，它专为R编程语言设计。h2o是一个免费的软件产品，能够显著提高计算速度，同时提供传统R中无法获得的机器学习工具。此外，h2o与R完全兼容，因此你不需要学习新的编程语言，即可利用这些强大的功能。 本课程讨论的主题包括： - 使用auto_ml命令进行自动化机器学习 - 通过h2o网格搜索进行智能超参数调优 - 利用h2o提高R的计算速度 - 通过agua包将h2o与tidymodels集成 R编程语言是数据分析师的绝佳工具，拥有强大的算法和函数来建模和处理数据。但如果你希望将数据分析技能提升到一个新高度，学习h2o将是一个不错的选择。请注意，本课程并非面向初学者，学员需具备R编程语言和机器学习基础知识。
What if I told you there was a data analysis tool that could automate your machine learning pipeline? What if I told you that all you had to do was give this tool some data, and it would automatically select the best machine learning algorithm, tune the hyper parameters for you, and decrease your processing time by over 80%! It sounds too good to be true, but the h2o package for the R programing language does exactly that. Hello and welcome. In this course, I will show you how to use the powerful h2o machine learning package for the R programming language. The h2o package is a free-to-use software product that can greatly increase the speed of your calculations while also giving you access to machine learning tools that simply aren't available in traditional R. At the same time, h2o is fully compatible with R which means you don't need to learn a new programing language to take advantage of these powerful features. Some of the topics in this course include:Automated machine learning using the auto_ml commandIntelligent hyper parameter tuning using h2o grid searchesIncreasing the computational speed of R by leveraging h2oIntegrating h2o with tidymodels via the agua packageThe R programming language is a fantastic tool for data analysts. It is loaded with powerful algorithms and functions for modeling and processing your data, but if you are looking to take your data analysis skills to the next level, then learning h2o could be a great next step. This is NOT a beginner course, and you need to have an understanding of the R programming language as well as the fundamentals of machine learning.
