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所在平台: Udemy |
课程主页: https://www.udemy.com/course/angular-recommender-system/
课程评论：没有评论
课程名称：Python机器学习 - 使用Angular的推荐系统 课程概述：如果你对推荐系统感兴趣，或者想学习如何构建包含前端和后端的高级系统，那么这门课程正是你所需要的！你将学习如何使用Python编程语言设置API，以便可以远程调用后端推荐系统。此外，你还将学习如何使用Angular和Firebase开发一个完整的前端系统，该系统能够展示用户推荐。在本课程中，你将使用多种技术，包括Angular、Python、TypeScript、MySQL和Firebase。总之，这门课程将为你提供开发完全功能性网络应用程序的坚实基础，其中多个系统得以集成。 TypeScript是什么？TypeScript是官方Angular团队使用的主要语言，也是你在Angular教程中主要看到的语言。它是JavaScript的超集，使得编写Angular应用变得简单。使用TypeScript可以确保你为创建Angular应用做好最佳准备。 课程结束时，你将能够： - 使用Angular构建真实的客户端应用 - 使用Python3构建后端系统 - 使用MySQL数据库 - 集成Firebase - 使用机器学习算法 - 消费HTTP服务 本课程使用的机器学习算法均基于Surprise库，使Python开发者可以仅通过少量代码轻松入门机器学习。
Interested in recommender systems or do you just want to learn how to build advanced systems consisting of both frontend and backend? Then this course is all you need! You will learn how to setup a API using the programming language Python such that a backend recommender can be remotely called. Furthermore you will learn how to develop a fully working frontend system using Angular and firebase which is capable of presenting user recommendations. During this course you will use a vast range of technologies including Angular, Python, Typescript, MySQL and firebase. The course will in other words give you a solid introduction to the development of fully functional web applications where several systems are integrated.What is TypeScript?TypeScript is the main language used by the official Angular teams and the language you'll mostly see in Angular tutorials. It's a superset to JavaScript and makes writing Angular apps really easy. Using it ensures, that you will have the best possible preparation for creating Angular apps.By the end of this course, you'll be able to:Build real client apps with AngularBuild backend systems using Python3Work with MySQL databasesIntegrate to FirebaseUse Machine Learning algorithmsConsuming HTTP servicesThe Machine Learning Algorithms used in this course is all based on the Surprise Library which also any Python developer to get started with Machine Learning using just a few lines of code.
