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所在平台: Udemy |
课程主页: https://www.udemy.com/course/supervised-machine-learning-for-beginners/
课程评论：没有评论
**课程名称：** 监督机器学习入门 **课程概述：** 本课程专为希望进入机器学习领域的开发者、架构师、工程师、技术爱好者、学生以及任何好奇的个体设计。无论您是否确定从何开始，这都是一个理想的起点。 课程将从基础概念讲起，深入浅出地解释监督学习的理念，并探讨利用监督学习技术可解决的各种问题类型。随后，课程将进入实践环节，通过易于复用的代码示例，演示数据准备和模型评估的相关概念。最后，课程将指导学员训练和评估几种常见的监督学习算法模型，包括 K-近邻、逻辑回归、决策树和随机森林。 我们希望您能从本课程中获得乐趣，并发现其易于学习。课程旨在为您提供扎实的机器学习背景，助您成功开启机器学习之旅。
If you are a developer, an architect, an engineer, a techie, an IT enthusiast, a student or just a curious person, if you are interested in taking on machine learning but you are not too sure where to start, this is probably the right course for you!!In this course, we start with the basics and we explain the concept of supervised learning in depth, we also go over the various types of problems that can be solved using supervised learning techniques. Then we get more hands-on and illustrate some concepts relative to data preparation and model evaluation with bits of code that you can easily reuse. And last, we actually train and evaluate several models based on the most common machine learning algorithms for supervised learning such as K-nearest neighbors, logistic regression, decision trees and random forests. I hope that you find this course fun and easy to follow and that it gives you the machine learning background you need to kick start your journey and be successful in this field!
