# a_journey_into_math_of_ml **Repository Path**: lm_main/a_journey_into_math_of_ml ## Basic Information - **Project Name**: a_journey_into_math_of_ml - **Description**: No description available - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2024-07-03 - **Last Updated**: 2024-07-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # a_journey_into_math_of_ml ### 机器学习之数学之旅系列课程: 作者邮箱: espresso_ml@hotmail.com __视频讲解频道__: **youtube**: https://www.youtube.com/channel/UCZ4Rpk5ilk5w1uO3KRNaYBg **Bilibili**: https://space.bilibili.com/255296093 **知乎**专栏: espresso数据萃取机 https://zhuanlan.zhihu.com/c_1018534554512035840 ### 目前的课程(请点击, 指向对应repo目录和视频链接): | | | :------------------------------------------------------------------------- | | 书面教程: [图解极大似然估计推导与3D可视化](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/00_maximum_likelihood_estimationa_and_3d_visualization) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av54346038/) / [youtube](https://www.youtube.com/watch?v=C6a-SMY0H50)| | 书面教程: [逻辑回归(一)-logit-odds-sigmoid函数-最大似然估计](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/01_logistic_regression) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av53400966/) / [youtube](https://www.youtube.com/watch?v=i3zz7DQU3tc&t=535s) | | 书面教程: [逻辑回归(二)-交叉熵与困惑度](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/01_logistic_regression) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av53704693/) / [youtube](https://www.youtube.com/watch?v=bkC1Lna4lBY&t=16s) | | 书面教程: [逻辑回归(三)-梯度下降-偏导数-求导最小化-分类边界可视化](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/01_logistic_regression) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av54780873/) / [youtube](https://www.youtube.com/watch?v=up85PnWFBY8&t=9s) | | 书面教程: [机器学习之数学之旅-从零推导adaboost与3D可视化-特征选择-集体智能-集成学习-boosting](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/02_adaboost) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av56033745/) / [youtube](https://www.youtube.com/watch?v=-rqGPD06Ifs&t=5s) | | 书面教程: [汉语自然语言处理-从零解读碾压循环神经网络的transformer模型(一)](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/03_transformer_tutorial_1st_part) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av58239477/) / [youtube](https://www.youtube.com/watch?v=wLKsaZWeuCM) | | 书面教程: [汉语自然语言处理-BERT的解读语言模型预训练与实践应用-transformer模型(二)](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/04_transformer_tutorial_2nd_part) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av60168891/) / [youtube]() | | 书面教程: [汉语自然语言处理-隐马尔可夫模型命名实体识别NER-HMM-从零解读-概率图模型-生成模型](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/05_NER_hidden_markov_model) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av68032676/)| | 书面教程: [汉语自然语言处理-维特比算法与NER](https://github.com/aespresso/a_journey_into_math_of_ml/tree/master/05_NER_hidden_markov_model) | | 视频讲解: [B站讲解](https://www.bilibili.com/video/av68907334/)|