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所在平台: Udemy |
课程主页: https://www.udemy.com/course/beginners-guide-to-machine-learning/
课程评论：没有评论
课程名称：初学者机器学习指南 - Python, Keras, SKLearn 课程概述：本课程将覆盖机器学习的基础知识。课程旨在简明扼要，不绕弯子地传达所需内容。基于大学级别的机器学习大纲，本课程通过引人入胜的故事、专业编辑的视频和巧妙的剧本写作，有效地教授那些有时显得枯燥的内容。通过这种方式，学员能有效吸收复杂的材料，而不会感到乏味。课程首先通过一个关于一个愤怒农夫和他失踪的甜甜圈的故事，进行机器学习的概述，以此奠定基础。获得一般理解后，课程进入监督分类，介绍神经网络，并通过一个花卉农场的管道系统进行说明。接下来，我们探讨监督回归，通过评估某些属性是否物有所值来进行学习。然后，我们利用其它以农场为主题的例子，深入了解非监督分类和回归。本课程可能是最好的基础机器学习课程，您将在学习中受益匪浅。
In this course, we will cover the foundations of machine learning. The course is designed to not beat around the bush, and cover exactly what is needed concisely and engagingly. Based on a university level machine learning syllabus, this course aims to effectively teach, what can sometimes be dry content, through the use of entertaining stories, professionally edited videos, and clever scriptwriting. This allows one effectively absorb the complex material, without experiencing the usual boredom that can be experienced when trying to study machine learning content. The course first goes into a very general explanation of machine learning. It does this by telling a story that involves an angry farmer and his missing donuts. This video sets the foundation for what is to come. After a general understanding is obtained, the course moves into supervised classification. It is here that we are introduced to neural networks through the use of a plumbing system on a flower farm.Thereafter, we delve into supervised regression, by exploring how we can figure out whether certain properties are value for money or not.We then cover unsupervised classification and regression by using other farm-based examples.This course is probably the best foundational machine learning course out there, and you will definitely benefit greatly from it.
