AiLearning-Theory-Applying/README.md

# 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：

<ul>
    <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md'>必备数学基础Basic knowledge</a>
        <ul>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E9%AB%98%E7%AD%89%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80'>高等数学基础</a>
            </li>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%BE%AE%E7%A7%AF%E5%88%86'>微积分</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%B3%B0%E5%8B%92%E5%85%AC%E5%BC%8F'>泰勒公式</a>
    <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E7%BA%BF%E6%80%A7%E4%BB%A3%E6%95%B0%E5%9F%BA%E7%A1%80'>线性代数基础</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E9%9A%8F%E6%9C%BA%E5%8F%98%E9%87%8F'>随机变量</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%A6%82%E7%8E%87%E8%AE%BA%E5%9F%BA%E7%A1%80'>概率论基础</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E7%9A%84%E5%87%A0%E7%A7%8D%E5%88%86%E5%B8%83'>数据科学的几种分布</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E6%A0%B8%E5%87%BD%E6%95%B0'>核函数</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E7%86%B5%E5%92%8C%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0'>熵和激活函数</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90'>回归分析</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/notebook_%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/%E5%81%87%E8%AE%BE%E6%A3%80%E9%AA%8C%E7%AB%A0%E8%8A%82'>假设检验</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/notebook_%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/%E7%9B%B8%E5%85%B3%E5%88%86%E6%9E%90%E7%AB%A0%E8%8A%82'>相关分析</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/notebook_%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80/%E7%9B%B8%E5%85%B3%E5%88%86%E6%9E%90%E7%AB%A0%E8%8A%82'>方差分析</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#kmeans%E7%AE%97%E6%B3%95'>KMEANS算法</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E5%BF%85%E5%A4%87%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80.md#%E8%B4%9D%E5%8F%B6%E6%96%AF%E5%88%86%E6%9E%90'>贝叶斯分析</a>
        </ul>
		<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/README.md'>人人都能看懂的Transformer</a> 
	  <ul>
               <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%80%E7%AB%A0%E2%80%94%E2%80%94Transformer%E7%BD%91%E7%BB%9C%E6%9E%B6%E6%9E%84.md'>第一章——Transformer网络架构</a></li>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%BA%8C%E7%AB%A0%E2%80%94%E2%80%94%E6%96%87%E5%AD%97%E5%90%91%E9%87%8F%E5%8C%96.md'>第二章——文字向量化</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%89%E7%AB%A0%E2%80%94%E2%80%94%E4%BD%8D%E7%BD%AE%E7%BC%96%E7%A0%81.md'>第三章——位置编码</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%9B%9B%E7%AB%A0%E2%80%94%E2%80%94%E5%A4%9A%E5%A4%B4%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E2%80%94%E2%80%94QK%E7%9F%A9%E9%98%B5%E7%9B%B8%E4%B9%98.md'>第四章——多头注意力机制——QK矩阵相乘</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%BA%94%E7%AB%A0%E2%80%94%E2%80%94%E5%A4%9A%E5%A4%B4%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6%E2%80%94%E2%80%94%E5%85%A8%E6%B5%81%E7%A8%8B.md'>第五章——多头注意力机制——全流程</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AD%E7%AB%A0%E2%80%94%E2%80%94%E6%95%B0%E5%80%BC%E7%BC%A9%E6%94%BE.md'>第六章——数值缩放</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%83%E7%AB%A0%E2%80%94%E2%80%94%E5%89%8D%E9%A6%88%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md'>第七章——前馈神经网络</a>
                <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AB%E7%AB%A0%E2%80%94%E2%80%94%E6%9C%80%E5%90%8E%E7%9A%84%E8%BE%93%E5%87%BA.md'>第八章——最后的输出</a>
      </ul>
    <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88'>机器学习MachineLearning</a> 
    <ul>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E4%BF%A1%E7%94%A8%E5%8D%A1%E6%AC%BA%E8%AF%88%E6%A3%80%E6%B5%8B'>信用卡欺诈检测（含数据集）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%B7%A5%E4%B8%9A%E5%8C%96%E5%B7%A5%E7%94%9F%E4%BA%A7%E9%A2%84%E6%B5%8B'>工业化工生产预测（含数据集）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%99%BA%E6%85%A7%E5%9F%8E%E5%B8%82-%E9%81%93%E8%B7%AF%E9%80%9A%E8%A1%8C%E6%97%B6%E9%97%B4%E9%A2%84%E6%B5%8B'>智慧城市-道路通行时间预测（含数据集）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%BB%BA%E7%AD%91%E8%83%BD%E6%BA%90%E5%88%A9%E7%94%A8%E7%8E%87%E9%A2%84%E6%B5%8B'>建筑能源利用率预测（含数据集）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/Indoor%20Location%20%26%20Navigation'>Indoor Location & Navigation（数据集在kaggle）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E7%AC%AC%E4%B8%89%E5%B1%8A%E9%98%BF%E9%87%8C%E4%BA%91%E7%A3%90%E4%B9%85%E6%99%BA%E7%BB%B4%E7%AE%97%E6%B3%95%E5%A4%A7%E8%B5%9B'>第三届阿里云磐久智维算法大赛（数据集在天池）</a>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98%E5%B0%8F%E9%A1%B9%E7%9B%AE'>机器学习实战小项目（含数据集）</a>
	</ul>
    <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8'>深度学习入门DeepLearning</a> 
        <ul>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8/%E7%AC%AC%E4%B8%80%E7%AB%A0%E2%80%94%E2%80%94%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%BF%85%E5%A4%87%E7%9F%A5%E8%AF%86%E7%82%B9.md'>深度学习必备知识点</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8/%E7%AC%AC%E4%BA%8C%E7%AB%A0%E2%80%94%E2%80%94%E8%B5%B0%E8%BF%9B%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%9A%84%E4%B8%96%E7%95%8C%20%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9E%8B.md'>走进深度学习的世界 神经网络模型</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8/%E7%AC%AC%E4%B8%89%E7%AB%A0%E2%80%94%E2%80%94%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md'>卷积神经网络</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8/%E7%AC%AC%E5%9B%9B%E7%AB%A0%E2%80%94%E2%80%94%E9%80%92%E5%BD%92%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E4%B8%8E%E8%AF%8D%E5%90%91%E9%87%8F%E5%8E%9F%E7%90%86%E8%A7%A3%E8%AF%BB.md'>递归神经网络与词向量原理解读</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8/%E7%AC%AC%E4%BA%94%E7%AB%A0%E2%80%94%E2%80%94LSTM%E7%BD%91%E7%BB%9C%E6%9E%B6%E6%9E%84%E4%B8%8E%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90%E5%BA%94%E7%94%A8%E5%AE%9E%E4%BE%8B'>LSTM网络架构与情感分析应用实例</a>
		<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/%E5%BF%AB%E6%89%8B%E7%9F%AD%E8%A7%86%E9%A2%91%E7%94%A8%E6%88%B7%E6%B4%BB%E8%B7%83%E5%BA%A6%E5%88%86%E6%9E%90'>快手用户活跃预测（含数据集）</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AB%9E%E8%B5%9B%E5%AE%9E%E6%88%98_%E4%BC%98%E8%83%9C%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/ACM%20SIGSPATIAL%202021%20GISCUP'>ACM SIGSPATIAL 2021预估到达时间（含数据集）</a>
        </ul>
        <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/NLP%E9%80%9A%E7%94%A8%E6%A1%86%E6%9E%B6BERT%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98'>NLP通用框架BERT项目实战</a>
        <ul>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/NLP%E9%80%9A%E7%94%A8%E6%A1%86%E6%9E%B6BERT%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98/%E7%AC%AC%E4%B8%80%E7%AB%A0%E2%80%94%E2%80%94NLP%E9%80%9A%E7%94%A8%E6%A1%86%E6%9E%B6BERT%E5%8E%9F%E7%90%86%E8%A7%A3%E8%AF%BB.md'>NLP通用框架BERT原理解读</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/NLP%E9%80%9A%E7%94%A8%E6%A1%86%E6%9E%B6BERT%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98/%E7%AC%AC%E4%BA%8C%E7%AB%A0%E2%80%94%E2%80%94BERT%E6%BA%90%E7%A0%81%E8%A7%A3%E8%AF%BB%E4%B8%8E%E5%BA%94%E7%94%A8%E5%AE%9E%E4%BE%8B'>BERT源码解读与应用实例</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/NLP%E9%80%9A%E7%94%A8%E6%A1%86%E6%9E%B6BERT%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98/%E7%AC%AC%E4%B8%89%E7%AB%A0%E2%80%94%E2%80%94%E5%9F%BA%E4%BA%8EBERT%E7%9A%84%E4%B8%AD%E6%96%87%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90%E5%AE%9E%E6%88%98.md'>基于BERT的中文情感分析实战.md</a>
        </ul> 
   <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86%E5%8F%8A%E6%8E%A8%E5%AF%BC'>机器学习算法原理及推导</a>
        <ul>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86%E5%8F%8A%E6%8E%A8%E5%AF%BC/%E6%9D%8E%E8%88%AA%E2%80%94%E2%80%94%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0%E6%96%B9%E6%B3%95'>李航——统计学习方法</a>
            <li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/tree/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86%E5%8F%8A%E6%8E%A8%E5%AF%BC/%E6%9D%8E%E5%AE%8F%E6%AF%85%E2%80%94%E2%80%94%E5%BC%82%E5%B8%B8%E6%A3%80%E6%B5%8B'>李宏毅——异常检测</a>
        </ul>







## 说明

<p> 本专题并不用于商业用途，转载请注明本专题地址，如有侵权，请务必邮件通知作者。
<p> 如有文字、代码等遗漏或错误的地方，望不吝赐教，万分感谢。
<p> Email：909336740@qq.com


## License

本文使用的许可见 [LICENSE](https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/LICENSE)