|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-a-beginners-basic-introduction/
课程评论：没有评论
课程名称：机器学习：初学者的基本介绍 课程概述：机器学习涉及许多不同的思想、编程语言和框架，难以用简单的几句话定义。但本质上，机器学习是赋予计算机自主编写规则或算法和自我学习新事物的能力。在本课程中，我们将探讨一些基本的机器学习概念，并加载数据以进行预测。价值估算作为最常见的机器学习算法之一，可以通过查看相关信息自动估算值。例如，某个网站可以基于房产的位置和特征来判断这栋房子的价值。本课程将运用机器学习构建一个价值估算系统，能够推断出房屋的价值。尽管我们构建的工具专注于房地产，但相同的方法也可用于解决任何类型的价值评估。 学习内容包括： - 机器学习的基本概念 - 监督学习与无监督学习 - 机器学习框架 - 使用Python和scikit-learn进行机器学习 - 加载示例数据集 - 基于数据集进行预测 - 设置开发环境 - 构建一个简单的房屋价值估算器 本课程中的示例虽然基础，但应能帮助你建立对机器学习的强大能力和其工作原理的扎实理解。
Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions. Value estimation-one of the most common types of machine learning algorithms-can automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property's location and characteristics.In this course, we will use machine learning to build a value estimation system that can deduce the value of a home. Although the tool we will build in this course focuses on real estate, you can use the same approach to solve any kind of value estimation. What you'll learn include:Basic concepts in machine learningSupervised versus Unsupervised learningMachine learning frameworksMachine learning using Python and scikit-learnLoading sample datasetMaking predictions based on datasetSetting up the development environmentBuilding a simple home value estimatorThe examples in this course are basic but should give you a solid understanding of the power of machine learning and how it works.
