https://LeoDreamer2004.github.io/categories/ Recent content in Categories on LeoDreamer Hugo -- gohugo.io zh-cn Wed, 13 May 2026 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E8%AE%A1%E7%AE%97%E6%9C%BA/ Wed, 13 May 2026 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E8%AE%A1%E7%AE%97%E6%9C%BA/ <img src="https://LeoDreamer2004.github.io/categories/%E8%AE%A1%E7%AE%97%E6%9C%BA/Chino_CS.jpg" alt="Featured image of post 计算机" /> https://LeoDreamer2004.github.io/categories/%E8%AE%BA%E6%96%87/ Wed, 13 May 2026 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E8%AE%BA%E6%96%87/ <img src="https://LeoDreamer2004.github.io/categories/%E8%AE%BA%E6%96%87/Chino_Paper.jpeg" alt="Featured image of post 论文" /> https://LeoDreamer2004.github.io/categories/%E8%AF%BE%E7%A8%8B/ Wed, 11 Mar 2026 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E8%AF%BE%E7%A8%8B/ <img src="https://LeoDreamer2004.github.io/categories/%E8%AF%BE%E7%A8%8B/PKU.jpeg" alt="Featured image of post 课程" /> https://LeoDreamer2004.github.io/categories/%E7%BB%9F%E8%AE%A1%E6%80%9D%E7%BB%B4/ Wed, 11 Mar 2026 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E7%BB%9F%E8%AE%A1%E6%80%9D%E7%BB%B4/ https://LeoDreamer2004.github.io/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/ Thu, 29 May 2025 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/ <img src="https://LeoDreamer2004.github.io/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80/Chino_ML.jpg" alt="Featured image of post 机器学习基础" /><p>北京大学牟克典老师的机器学习基础课程。</p> <div class="math-block"><p class="nav-title">导航</p> <table> <thead> <tr> <th>博客页面</th> <th>课件</th> <th>作业</th> </tr> </thead> <tbody> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/intro" >机器学习基础(1) —— 概述</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-1.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-1.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/vector-machine" >机器学习基础(2) —— 支持向量机</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-2.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-2.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/bayes" >机器学习基础(3) —— 基于后验概率最大化准则的分类模型</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-3.pdf" >课件链接</a></td> <td></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/knn" >机器学习基础(4) —— 基于近邻的分类方法</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-4.pdf" >课件链接</a></td> <td></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/decision-tree" >机器学习基础(5) —— 决策树模型</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-5.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-3.pdf" >作业链接</a> <a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-3-decision_tree.py" >代码链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/nn-beginner" >机器学习基础(6) —— 神经网络学习初步</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-6.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-4.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/integrated-learning" >机器学习基础(7) —— 集成学习</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-7.pdf" >课件链接</a></td> <td></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/clustering-intro" >机器学习基础(8) —— 聚类简介</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-8.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-5.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/markov" >机器学习基础(9) —— 隐 Markov 模型</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-9.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-6.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/pac-uc" >机器学习基础(10) —— PAC 和 UC 可学习性</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-10.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-7.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/pca" >机器学习基础(11) —— 奇异值分解与主成分分析简介</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-11.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-8.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/vc-nu" >机器学习基础(12) —— VC 维与非一致可学习</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-12.pdf" >课件链接</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/homework-9.pdf" >作业链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/machine-learning-base/minibatch" >机器学习基础(13) —— 神经网络学习之小批量梯度下降法</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/machine-learning-base/MachineLearning-13.pdf" >课件链接</a></td> <td></td> </tr> </tbody> </table> </div> https://LeoDreamer2004.github.io/categories/%E6%95%B0%E5%AD%A6/ Thu, 29 May 2025 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E6%95%B0%E5%AD%A6/ https://LeoDreamer2004.github.io/categories/%E7%A8%8B%E5%BA%8F%E8%AE%BE%E8%AE%A1%E5%AE%9E%E4%B9%A0/ Wed, 30 Apr 2025 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E7%A8%8B%E5%BA%8F%E8%AE%BE%E8%AE%A1%E5%AE%9E%E4%B9%A0/ <img src="https://LeoDreamer2004.github.io/categories/%E7%A8%8B%E5%BA%8F%E8%AE%BE%E8%AE%A1%E5%AE%9E%E4%B9%A0/Q_Py_Cpp.png" alt="Featured image of post 程序设计实习" /><p>北京大学张勤健老师的程序设计实习课程。</p> <div class="math-block"><p class="nav-title">导航</p> <table> <thead> <tr> <th>博客页面</th> <th>课件</th> </tr> </thead> <tbody> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/class-and-object" >程序设计实习(1) —— 类和对象</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/01-%e7%b1%bb%e5%92%8c%e5%af%b9%e8%b1%a101.pdf" >课件链接 1</a> <a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/02-%e7%b1%bb%e4%b8%8e%e5%af%b9%e8%b1%a102.pdf" >课件链接 2</a> <a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/03-%e7%b1%bb%e4%b8%8e%e5%af%b9%e8%b1%a103.pdf" >课件链接 3</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/operator-overload" >程序设计实习(2) —— 运算符重载</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/04-%e8%bf%90%e7%ae%97%e7%ac%a6%e9%87%8d%e8%bd%bd.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/inherit" >程序设计实习(3) —— 继承与派生</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/05-%e7%bb%a7%e6%89%bf%e4%b8%8e%e6%b4%be%e7%94%9f.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/polymorphism" >程序设计实习(4) —— 多态</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/06-%e5%a4%9a%e6%80%81.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/file-io" >程序设计实习(5) —— 输入输出和文件操作</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/07-%e8%be%93%e5%85%a5%e8%be%93%e5%87%ba%e5%92%8c%e6%96%87%e4%bb%b6%e6%93%8d%e4%bd%9c.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/template" >程序设计实习(6) —— 模板</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/08-%e6%a8%a1%e6%9d%bf.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/string" >程序设计实习(7) —— string 类</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/09-string%e7%b1%bb.pdf" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/stl" >程序设计实习(8) —— 标准模板库</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/10-%e6%a0%87%e5%87%86%e6%a8%a1%e6%9d%bf%e5%ba%93.pdf" >课件链接 1</a> <a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/11-%e6%a0%87%e5%87%86%e6%a8%a1%e6%9d%bf%e5%ba%932.pdf" >课件链接 2</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/program-practice/cpp-feature" >程序设计实习(9) —— C++ 特性</a></td> <td><a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/12-C&#43;&#43;11%e7%89%b9%e6%80%a7.pdf" >课件链接 1</a> <a class="link" href="https://LeoDreamer2004.github.io/materials/program-practice/13-C&#43;&#43;%e9%ab%98%e7%ba%a7%e7%89%b9%e6%80%a7.pdf" >课件链接 2</a></td> </tr> </tbody> </table> </div> <blockquote> <p>注：Python 部分未记录。</p> </blockquote> https://LeoDreamer2004.github.io/categories/%E6%9C%80%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95/ Sun, 23 Mar 2025 00:00:00 +0000 https://LeoDreamer2004.github.io/categories/%E6%9C%80%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95/ <img src="https://LeoDreamer2004.github.io/categories/%E6%9C%80%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95/optimize.jpg" alt="Featured image of post 最优化方法" /><p>本系列是关于北大文再文老师最优化方法课程的自学笔记。</p> <div class="math-block"><p class="nav-title">导航</p> <table> <thead> <tr> <th>博客页面</th> <th>课件</th> </tr> </thead> <tbody> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/opt-method/intro" >最优化方法(1) —— 简介</a></td> <td><a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/01-opt-pku.pdf" target="_blank" rel="noopener" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/opt-method/convex-set" >最优化方法(2) —— 凸集</a></td> <td><a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/02-convex-set.pdf" target="_blank" rel="noopener" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/opt-method/convex-function" >最优化方法(3) —— 凸函数</a></td> <td><a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/03_functions_newhyx.pdf" target="_blank" rel="noopener" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/opt-method/opt-problem" >最优化方法(4) —— 优化问题</a></td> <td><a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/06-opt-dzw-pku.pdf" target="_blank" rel="noopener" >课件链接</a></td> </tr> <tr> <td><a class="link" href="https://LeoDreamer2004.github.io/p/opt-method/opt-theory" >最优化方法(5) —— 最优性理论</a></td> <td><a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/07-lect-theory1.pdf" target="_blank" rel="noopener" >课件链接 1</a> <a class="link" href="http://faculty.bicmr.pku.edu.cn/~wenzw/optbook/lect/07-lect-theory2.pdf" target="_blank" rel="noopener" >课件链接 2</a></td> </tr> </tbody> </table> </div>