ben1234560/AiLearning-Theory-Applying

快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Jupyter NotebookPythonnlpmachine-learningaideep-learningkaggle-competitionlearning-by-doingbertdataming
This is stars and forks stats for /ben1234560/AiLearning-Theory-Applying repository. As of 29 Apr, 2024 this repository has 2632 stars and 396 forks.

AiLearning-Theory-Applying 快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。 学习章节： 必备数学基础Basic knowledge 高等数学基础 微积分 泰勒公式 线性代数基础 随机变量 概率论基础 数据科学的几种分布 核函数 熵和激活函数 回归分析 假设检验 相关分析 方差分析 KMEANS算法 贝叶斯分析 机器学习MachineLearning 信用卡欺诈检测（含数据集） ...
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