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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-and-iot-naive-bayes/
课程评论：没有评论
课程名称：基于朴素贝叶斯的智能照明AIoT项目 课程概述：本课程提供每个项目的示例代码，完成课程后您将获得结业证书。此外，还有Udemy 30天退款保证，如果您对本课程不满意，您可以申请退款。课程旨在教您从理论到原型构建一个AIoT系统，特别采用朴素贝叶斯算法。课程分为三个主要部分： 第一部分：通过实际示例学习朴素贝叶斯分类器的基本概念。 第二部分：学习如何使用Python和C从零开始实现朴素贝叶斯分类器。 第三部分：基于朴素贝叶斯分类器和Arduino构建AIoT系统。 这是一个以项目为基础的课程，主要目标是展示从理论到原型的完整流程，帮助您将所学概念应用到自己的项目中。完成课程后，您将能够结合在大学学习过程中获得的人工智能、编程和嵌入式系统等多种知识，以构建完整的原型。 点击课程按钮，期待您加入课程！
Sample codes are provided for every project in this course.You will receive a certificate of completion when finishing this course.There is also Udemy 30 Day Money Back Guarantee, if you are not satisfied with this course.This course teaches you how to build an AIoT system from theory to prototype particularly using Naive Bayes algorithm. This course is divided into three main parts. In the first part, you will learn about Naive Bayes classifier examples by hand. In the second part, you will learn about how to implement Naive Bayes classifier from scratch in Python and C. In the third part, you will learn about how to build an AIoT system based on Naive Bayes classifier and Arduino.This is a project-based course. The main goal is to show you the complete flow how to build AIoT from theory to prototype. The point is to apply the concepts that you will learn in this course to your own projects. At the end of this course, you will be able to combine various kinds of knowledge that you may have studied at university, such as Artificial Intelligence, Programming, and Embedded System, in order to build the complete prototypes.So, click the course button and see you inside the course.
