[


["0x00_读论文", 
[ 
["【论文学习】论文目录","/2018/08/11/papers.html"], ["【读论文】深度学习的泛化性","/2019/11/02/nn_paper_understanding.html"], ["【读论文】神经网络的训练","/2019/11/03/nn_papers_train.html"], ["【论文笔记】CNN","/2019/11/05/cnn.html"], ["【论文学习】图神经网络","/2020/02/01/gnn.html"], ["【读论文】水印","/2023/11/04/watermark.html"], ["【论文学习】Hash 类算法","/2023/04/02/hash.html"], ["【读论文】prophet","/2019/10/20/prophet.html"]
]
],

["0x10_计算机基础", 
[ 
["🔥 计算机组成原理","/computer_organization.html"], ["🔥 操作系统原理","/os.html"], ["🔥 网络空间安全","/cybersecurity.html"], ["软件工程","/software_engineering.html"], ["【无线电】基础知识","/2024/07/21/radio.html"], ["【swift】初学 笔记","/2022/05/29/swift.html"], ["【合集】Matlab(18篇)","/matlab.html"], ["【合集】Java(4篇)","/java.html"], ["【合集】C/C++(9篇)","/c.html"], ["【合集】Rust(8篇)","/rust.html"], ["【合集】Python(18篇)","/python.html"], ["【合集】前端开发(6篇)","/frontend_dev.html"]
]
],

["0x11_算法平台", 
[ 
["【Linux】常用命令","/linux.html"], ["🔥【Git】语法速查","/git.html"], ["🔥【Docker】语法速查","/docker.html"], ["🔥【SQL】SELECT专题","/2018/03/20/sqlselect.html"], ["【spark, Hive, Hadoop, yarn】汇总","/2018/03/27/spark.html"], ["【spark】DataFrame","/2018/03/30/sparkdataframe.html"], ["【spark】sql.functions","/2019/01/26/sparkfunctions.html"], ["打包Python库","/2019/10/05/make_module.html"], ["各种数据库方言","/2015/01/30/mySQL.html"], ["【SQL】通用语法","/2015/02/03/SQL.html"], ["【python】sqlAlchemy","/2018/03/21/sqlalchemy.html"], ["【归档】TensorFlow(14篇)","/tensorflow.html"], ["【合集】Pytorch(11篇)","/torch.html"]
]
],

["0x12_特征工程", 
[ 
["🔥 数据清洗与特征工程","/2017/10/19/cleandata.html"], ["【特征工程】语法速查","/2016/08/28/cleandata_tools.html"], ["【numpy】科学计算语法速查","/2017/07/05/numpy.html"]
]
],

["0x21_有监督学习", 
[ 
["【sklearn】一次训练几十个模型","/2019/10/01/all_models.html"], ["机器学习模型汇总","/2017/05/22/modelpool.html"], ["【sklearn】模型选取+参数选择","/2019/09/28/model_selection.html"], ["【模型评价】理论与实现","/2017/05/02/ModelEvaluation.html"], ["【交叉验证】介绍与实现","/2017/10/03/crossvalidation.html"], ["【Bagging&Boosting】理论与实现","/2017/10/06/baggingboosting.html"], ["【半监督学习】理论与实现","/2019/02/02/semi_supervised_learning.html"], ["【logistics】理论与实现","/2017/05/07/LogisticRegression.html"], ["【Decision Tree】理论与实现","/2017/05/22/DecisionTreeClassifier.html"], ["【SVM】理论与实现","/2017/09/28/svm.html"], ["【Random Forest】理论与实现","/2017/10/20/randomforest.html"], ["【MLP】BP神经网络实现","/2017/10/21/mlp.html"], ["【KNN】理论与实现","/2017/10/24/knn.html"], ["【Naive Bayes】理论与实现","/2017/10/25/naivebayes.html"], ["【判别分析】理论篇","/2017/12/03/discriminantanalysis.html"], ["【CRF】理论篇","/2017/11/13/conditionalrandomfield.html"], ["【HMM】理论篇","/2017/11/11/hiddenmarkov.html"], ["【EM算法】理论篇","/2017/11/09/em.html"], ["【Probit】理论简介","/2017/07/18/probit.html"], ["【Elo模型】理论篇","/2017/04/30/Elo.html"], ["【dummies】虚拟变量回归","/2016/05/04/DummyVariableRegression.html"]
]
],

["0x23_深度学习", 
[ 
["【大模型】炼丹笔记","/2026/01/24/llm_train.html"], ["🔥【Agent】应用全流程","/2026/01/17/agent.html"], ["【vLLM】学习笔记","/2025/09/13/vllm.html"], ["【读论文】大模型相关","/2025/07/20/llm_papers.html"], ["✨【LLM】提问的艺术：如何写好prompt","/2023/05/13/prompt.html"], ["【Transformer】Bert和GPT","/2022/10/29/transformer.html"], ["【DNN】Structuring DNN Projects","/2017/04/01/DNN.html"], ["【NN】反向传播和优化算法","/2017/12/06/DL.html"], ["【TensorFlow】AutoEncoder","/2018/11/02/autoencoder.html"], ["【DNN】训练","/2019/05/04/dnn_train.html"], ["Structuring Machine Learning Projects","/2019/05/12/structuring_ml_projects.html"]
]
],

["0x24_NLP", 
[ 
["【NLP】任务汇总","/2019/06/08/nlp_tasks.html"], ["【NLP】feature提取","/2018/09/24/nlp_feature.html"], ["【NLP】【Python】新词发现","/2020/04/04/word_discovery.html"], ["【Torch】word2vec","/2022/12/24/word2vec.html"], ["【tensorflow】RNN","/2018/10/22/rnn.html"], ["LSTM","/2017/12/18/lstm.html"], ["【NLP】基本数据结构","/2021/10/17/nlp_data_structure.html"], ["【NLP】主题模型/关键词提取","/2021/10/10/nlp_theme.html"], ["【NLP】文本分类","/2021/10/01/nlp_classify.html"], ["【HanLP】NER流程","/2021/05/15/ner.html"], ["【NLP】NLTK","/2021/05/02/nltk.html"], ["【HanLP】分词、词性标注、NER","/2021/05/01/hanlp.html"]
]
],

["0x25_CV", 
[ 
["【CNN】理论篇","/2017/12/16/cnn.html"], ["【CNN】实现","/2018/09/26/cnn2.html"], ["【YOLO】理论与实现","/2024/07/14/yolo.html"], ["【DeepDream】初学","/2018/11/14/deepdream.html"], ["【OpenCV1】读写、空间变换","/2018/10/30/cv.html"], ["【OpenCV2】滤波器、边缘、轮廓","/2020/03/07/cv2.html"], ["【OpenCV3】图像算法","/2020/06/06/cv3.html"], ["【频域变换】理论与Rust实现","/2024/06/01/cv6.html"], ["【印刷术】加网、防伪、暗水印","/2024/03/09/digital_image_spatial3.html"], ["【数字图像处理2】编码、压缩","/2024/03/02/digital_image_spatial2.html"], ["二维码","/2022/11/05/qr.html"], ["【CV】数字图像处理","/2020/04/05/digital_image_spatial.html"], ["【OpenCV5】人脸识别","/2022/11/19/cv5.html"]
]
],

["0x31_降维", 
[ 
["【PCA】理论与实现","/2017/10/12/pca.html"], ["【KernelPCA】理论与实现","/2017/12/19/kernelpca.html"], ["【LLE】理论与实现","/2017/12/20/lle.html"], ["【Isomap】理论与实现","/2017/12/20/Isomap.html"], ["【FA】理论与实现","/2017/10/13/factor.html"], ["【ICA】理论与实现","/2017/11/27/ica.html"], ["【MDS】Python实现","/2017/11/25/mds.html"], ["【特征选择】","/2019/01/27/feature_selection.html"], ["【SVD】分解","/2019/01/20/svd.html"], ["【有监督降维】LDA","/2019/01/19/lda.html"]
]
],

["0x32_聚类", 
[ 
["【聚类】汇总","/2017/09/29/cluster.html"], ["【Kmeans】理论与实现","/2017/06/09/kmeans.html"], ["【层次聚类】理论与实现","/2017/09/30/hierachicalcluster.html"], ["【DBSCAN】理论与实现","/2017/11/28/dbscan.html"], ["【GMM】理论与实现","/2017/11/10/gmm.html"]
]
],

["0x33_图模型", 
[ 
["【搜索推荐算法】理论篇","/2020/10/20/recommendation.html"], ["【PageRank】简介","/2019/04/27/pagerank.html"], ["【强化学习】简介","/2019/02/17/reinforcement_learning.html"], ["【规则学习】简介","/2019/02/16/rule_learning.html"], ["【networkx】图挖掘包","/2019/02/10/networkx.html"], ["【图挖掘】社区检测","/2019/02/09/community_detection.html"], ["【Apriori】关联规则","/2017/11/26/apriori.html"], ["【推荐算法】【协同过滤】原理与纯SQL实现","/2020/05/02/cf.html"], ["【CQL】总结neo4j","/2020/11/20/neo4j.html"], ["【Spectral Clustering】谱聚类","/2021/03/20/spectral_clustering.html"]
]
],

["0x41_统计模型", 
[ 
["🔥 统计推断","/2017/10/27/hypothesistesting.html"], ["🔥 回归分析","/2017/11/22/regression.html"], ["【statsmodels】Quantile regression","/2019/04/07/quantile_regression.html"], ["【statsmodels】WLS加权最小二乘法","/2019/03/10/statsmodels_wls.html"], ["【statsmodels】OLS最小二乘法","/2019/03/03/statsmodels_ols.html"], ["【Kalman】卡尔曼滤波","/2018/09/04/kalman.html"], ["【statsmodels】（进阶）(补全中)","/2018/05/06/statsmodelsregression.html"], ["【ridge&lasso】理论与实现","/2017/11/30/ridge.html"]
]
],

["0x42_概率论", 
[ 
["常见概率分布","/2017/05/27/distribution.html"], ["随机变量的数字特征","/2019/10/02/numerical_characteristics_of_random_variables.html"], ["大数定律","/2017/08/04/chebyshev.html"], ["参数估计","/2019/10/13/parameter_estimation.html"], ["概率测度简介","/2017/08/02/randomvariable.html"], ["概率统计趣题","/2019/10/12/question.html"], ["信息熵","/2017/05/23/entropy.html"]
]
],

["0x43_时间序列", 
[ 
["【时间序列】总览","/2018/01/29/timeseriesoverview.html"], ["【描述时序】趋势、季节和随机性","/2017/07/06/basictimeseries.html"], ["【描述时序】指数平滑法","/2017/07/08/exponentialsmoothing.html"], ["【统计时序1】工具","/2018/04/19/statisticaltimeseries.html"], ["【统计时序2】平稳性","/2017/12/04/timeseries.html"], ["【ARIMA】理论与实现","/2017/07/10/arima.html"], ["【统计时序】GARCH","/2017/07/17/arch.html"], ["【统计时序】Granger因果检验","/2018/05/10/granger.html"], ["【统计时序】非平稳数据的处理","/2018/04/14/timeseries2.html"], ["【时间序列】马尔科夫法","/2017/07/09/markov.html"]
]
],

["0x44_随机过程", 
[ 
["【随机过程】","/2018/09/29/stochastic_process.html"], ["【随机过程】1","/2019/08/03/stochastic_process1.html"]
]
],

["0x51_代数与分析", 
[ 
["【代数1】线性空间","/2018/04/09/algebra.html"], ["【代数2】线性映射","/2018/04/13/algebra2.html"], ["【代数3】多项式","/2018/12/23/algebra3.html"], ["【代数4】矩阵","/2022/02/05/algebra4.html"], ["【代数5】群、环、域","/2021/08/21/algebra_system.html"], ["【解析几何】","/2018/06/07/geometry.html"], ["【集合】定义、序偶、可列","/2021/08/14/set.html"], ["【实分析1】范数、测度和距离","/2017/06/04/distance.html"], ["【集合】开集、度量空间勒贝格测度","/2021/09/19/lebesgue_measure.html"], ["【实分析3】Sequence in Metric Space","/2017/07/19/sequence.html"], ["【实分析4】级数，巴拿赫空间与希尔伯特空间","/2017/07/23/seriesrealanalysis.html"], ["【实分析5】连续性与拓扑","/2017/07/30/continuitytopology.html"], ["【数学分析】习题","/2024/02/11/analysis_exercise.html"], ["多元微积分","/2017/10/26/multivariablecalculus.html"], ["【集合】其它","/2017/06/29/set.html"]
]
],

["0x52_方程", 
[ 
["常微分方程","/2018/01/08/differential-equations.html"], ["二阶线性偏微分方程","/2021/07/03/mathematical_physics_method.html"]
]
],

["0x53_复变与积分变换", 
[ 
["【Complex Analysis0】基本概念","/2019/07/06/complexanalysis.html"], ["【Complex Analysis1】极限、微分、解析","/2019/07/07/complex_analysis1.html"], ["【Complex Analysis2】Julia set","/2019/07/13/complex_julia.html"], ["【Complex Analysis3】共形映射","/2019/07/14/complexanalysis3.html"], ["【Complex Analysis4】积分","/2019/07/20/complex_integration.html"], ["【Complex Analysis5】级数、留数","/2019/07/21/complexanalysis5.html"], ["【fft】傅立叶变换","/2018/01/06/fourier.html"], ["【积分变换】拉普拉斯变换","/2018/06/20/laplacetransform.html"]
]
],

["0x55_数值计算", 
[ 
["【数值计算】数值逼近","/2021/06/05/numerical_calculation_method.html"], ["【数值计算】数值线性代数","/2021/06/12/numerical_linear_algebra.html"], ["【数值计算】数值常微分方程","/2021/06/19/numerical_ode.html"], ["【解方程】scipy.optimize.solve","/2017/06/06/scipyfsolve.html"], ["【数值计算】若干简介","/2017/08/29/numericalcalculation.html"], ["【插值】scipy.interpolate","/2017/06/06/scipyinterpolate.html"], ["【数值积分】scipy.integrate","/2017/06/06/scipyintegrate.html"]
]
],

["0x56_最优化", 
[ 
["【最优化】理论篇","/2017/06/09/optimization.html"], ["【线性最优化】理论篇","/2017/06/12/linearprogramming.html"], ["【非线性无约束最优化】理论","/2018/05/26/nonlinearprogramming.html"], ["【运筹学】","/2018/05/29/applyoptimization.html"], ["【整数规划】理论","/2018/05/28/integerprogramming.html"], ["【多目标最优化】理论","/2018/05/27/mop.html"], ["【约束非线性优化】拉格朗日法与KKT","/2017/10/30/lagrangemultiplier.html"], ["【最小二乘估计】scipy.optimize.leastsq","/2017/06/06/scipyleastsq.html"], ["【cvxopt】最优化库（持续更新中）","/2019/09/21/cvxopt.html"], ["【最优化】scipy.optimize.fmin","/2017/06/06/scipyfmin.html"], ["【动态最优化】变分法","/2018/12/09/calculus_of_variations.html"]
]
],

["0x58_密码学", 
[ 
["【密码】代码实现","/2019/06/29/crypto_usage.html"], ["文件结构与协议","/2024/02/10/file.html"], ["【纠错码】理论和Rust实现","/2024/01/21/reed_solomon2.html"], ["【擦除码】理论和实现","/2024/01/20/reed_solomon.html"], ["🔥【密码学】知识体系","/cipher.html"], ["🔥【隐写术】与暗水印知识体系","/2020/11/14/blind_watermark.html"]
]
],

["0x59_应用数学", 
[ 
["【离散数学1】数理逻辑","/2021/08/07/discrete_mathematics.html"], ["【离散数学3】格和布尔代数","/2021/08/28/discrete_mathematics_4.html"], ["【应用数学】博弈论","/2021/09/25/game_theory.html"], ["【排队论】基本概念","/2018/12/16/queuing_theory.html"], ["【AHP】层次分析法原理与Python实现","/2020/01/05/ahp.html"], ["【流形】基本概念","/2018/12/31/notes.html"], ["【模糊论】基本概念","/2020/03/08/fuzzy_sets.html"], ["数学模型","/2018/06/14/model.html"], ["【逻辑学】连锁悖论、真值度、超赋值理论与认知主义","/2017/06/29/soritesparadox.html"]
]
],

["0x60_启发式算法", 
[ 
["【GA】遗传算法","/2016/10/05/ga.html"], ["【PSO】粒子群算法","/2016/12/01/PSO.html"], ["【ACA】蚁群算法","/2017/05/25/ACA.html"], ["【IA】免疫优化算法","/2018/05/21/ia.html"], ["【DE】差分进化算法","/2019/12/01/de.html"], ["【AFSA】人工鱼群算法","/2018/05/22/afsa.html"], ["【SA】模拟退火算法","/2018/01/21/sa.html"], ["【智能算法】混合智能算法","/2017/07/08/intalgo.html"]
]
],

["0x70_可视化", 
[ 
["【pygal】Python生成SVG","/2019/01/12/plotly2.html"], ["【plotly】基本图表","/2019/01/05/plotly1.html"], ["【matplotlib】设置","/2017/09/20/matplotlib.html"], ["【matplotlib】面向对象绘图","/2017/09/22/matplotlib1.html"], ["【matplotlib】绘图方法汇总1","/2017/09/25/matplotlib2.html"], ["【seaborn】绘图方法汇总2","/2017/11/01/datavisualization.html"], ["【Matplotlib】3D视图","/2017/12/08/matplotlib3d.html"], ["【matplotlib】键鼠响应事件","/2017/09/26/matplotlib3.html"], ["【matplotlib】动画","/2017/09/27/matplotlib4.html"], ["【pyecharts】漂亮的可视化","/2018/05/05/pyecharts.html"], ["【tkinter】GUI设计","/2018/01/28/tkinter.html"], ["【reveal.js】演示","/2023/08/19/slides.html"], ["【TUI】轻量画图","/2024/08/03/tui.html"]
]
],

["0x80_数据结构与算法", 
[ 
["【数据结构0】知识体系","/2017/05/18/algorithm0.html"], ["【数据结构1】线性表","/2018/06/30/linear_list.html"], ["【数据结构3】hash","/2017/09/18/hash.html"], ["【数据结构4】递归","/2017/08/24/recursion.html"], ["【数据结构5】搜索","/2018/07/06/search.html"], ["【数据结构6】排序（Python）","/2018/11/20/sort.html"], ["【数据结构7】树理论篇、最小生成树","/2021/01/02/tree.html"], ["【数据结构7】【Python】Tree","/2021/01/03/tree_algorithm.html"], ["【最小生成树】Prim和Kruskal","/2017/09/12/minimumspanningtree.html"], ["【图论】欧拉图、汉密尔顿图","/2021/10/23/graph2.html"], ["【数据结构8】Graph","/2017/05/18/graph.html"], ["ACDoubleArrayTrie","/2023/02/04/ac.html"], ["【数据结构9】动态规划","/2021/01/09/greedy.html"], ["【文章集合】刷题","/2017/02/11/problem.html"], ["【概率论】趣味小题","/2017/08/08/intresting1.html"], ["生成迷宫","/2019/06/22/maze.html"]
]
],

["0xa0_蒙特卡洛方法", 
[ 
["【Mente Carlo 1】 数学理论","/2017/08/17/montecarlotheory.html"], ["【Mente Carlo 2】随机数发生器","/2017/08/18/randomgenerator.html"], ["【Python】【scipy】Random Variable","/2017/08/09/scipyrv.html"], ["【Python】【numpy】random随机","/2017/07/05/numpyrandom.html"], ["【探索】曲面上均匀随机采样","/2019/08/16/random_surface.html"]
]
],

["0xd0_设计模式", 
[ 
["【Python】【面向对象】继承&多态","/2017/10/07/inheritance.html"], ["【Python】【面向对象】字段&方法","/2017/10/08/field&method.html"], ["【Python】【面向对象】类的特殊成员","/2017/10/10/specialfield.html"], ["【decorator】装饰器","/2019/10/27/decorator.html"], ["【Python】设计模式","/2019/10/26/design_patterns.html"], ["【Clean Code】高质量代码指南","/2021/04/03/clean_code.html"]
]
]

]