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台大林轩田《机器学习基石》习题解答和代码实现 | 【你值得拥有】
2022-07-28 07:30:00 【51CTO】
台湾大学林轩田老师的《机器学习基石》、《机器学习技法》课程由浅入深、内容全面,基本涵盖了机器学习领域的很多方面。其作为机器学习的入门和进阶资料非常适合。本站实现了课程教材的绝大部分习题,并作了详细的笔记,在github予以分享。(习题作者:秦臻)
台湾大学林轩田老师的《机器学习基石》课程由浅入深、内容全面,基本涵盖了机器学习领域的很多方面。其作为机器学习的入门和进阶资料非常适合。而且林老师的教学风格也很幽默风趣,总让读者在轻松愉快的氛围中掌握知识。在此,笔者将把这门课的所有视频、书籍和代码等详细资料分享给大家。

首先附上这门课的主页:
https://www.csie.ntu.edu.tw/~htlin/
课程视频
在B站上可以直接观看哦~这里附上传送门:
https://www.bilibili.com/video/av12463015/
课程书籍
林轩田机器学习基石这门课有一个配套教材:《Learning From Data》,林轩田也是编者之一。这本书的主页为:http://amlbook.com/
习题答案和代码
清华大学的硕士生秦臻在学习的过程中把《Learning From Data》的习题都整理了一遍,方便自己以后查阅和他人参考。前后历时半年多,除了第六章,第八章和第九章少部分习题以外,其他所有习题均已完成。
https://github.com/Doraemonzzz/Learning-from-data,并持续更新。

清华大佬 秦臻同学 实现了林轩田老师的《机器学习基石》、《机器学习技法》课程教材《Learning From Data》的绝大部分习题,并作了详细的笔记,在github予以分享。这份珍贵资料非常适合作为机器学习的入门和进阶资料。
本文所有资料下载都可以在后台回复 “林轩田” 获取相应的资料

不发图总感觉不知道重点在哪里?


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