# machine-learning-notes

## machine-learning-notes

- [封面](https://luweikxy.gitbook.io/machine-learning-notes/master.md)
- [目录](https://luweikxy.gitbook.io/machine-learning-notes/summary.md)
- [前言](https://luweikxy.gitbook.io/machine-learning-notes/perface.md)
- [个人前言](https://luweikxy.gitbook.io/machine-learning-notes/personal-perface.md)
- [机器学习前言](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface.md)
- [什么是机器学习和模式识别](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/shi-mo-shi-ji-qi-xue-xi-he-mo-shi-shi-bie.md)
- [机器学习的应用](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/ji-qi-xue-xi-de-ying-yong.md)
- [机器学习的流程](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/ji-qi-xue-xi-de-liu-cheng.md)
- [不同的机器学习算法对相同数据预测效果不同](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/bu-tong-de-ji-qi-xue-xi-suan-fa-dui-xiang-tong-shu-ju-yu-ce-xiao-guo-bu-tong.md)
- [快速入门机器学习](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/kuai-su-ru-men-ji-qi-xue-xi.md)
- [机器学习需要参考哪些书](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/ji-qi-xue-xi-xu-yao-can-kao-na-xie-shu.md)
- [机器学习的学习路径](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/ji-qi-xue-xi-de-xue-xi-lu-jing.md)
- [深度学习的学习路径](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/shen-du-xue-xi-de-xue-xi-lu-jing.md)
- [互联网机器学习特定岗位所需技能](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-perface/hu-lian-wang-ji-qi-xue-xi-te-ding-gang-wei-suo-xu-ji-neng.md)
- [机器学习面试](https://luweikxy.gitbook.io/machine-learning-notes/interview.md)
- [数学基础](https://luweikxy.gitbook.io/machine-learning-notes/shu-xue-ji-chu.md)
- [微积分](https://luweikxy.gitbook.io/machine-learning-notes/calculus.md)
- [泰勒展开](https://luweikxy.gitbook.io/machine-learning-notes/calculus/taylor-expansion.md)
- [e的直观认识](https://luweikxy.gitbook.io/machine-learning-notes/calculus/intuition-of-e.md)
- [傅里叶变换](https://luweikxy.gitbook.io/machine-learning-notes/calculus/fourier-transform.md)
- [希尔伯特空间](https://luweikxy.gitbook.io/machine-learning-notes/calculus/hilbert-space.md)
- [线性代数](https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra.md)
- [范数](https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra/norm.md)
- [矩阵求导](https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra/matrix-derivative.md)
- [特征值](https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra/eigenvalue.md)
- [奇异值分解](https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra/singular-value-decomposition.md)
- [概率与信息论](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory.md)
- [综述概率论基本定义](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/review-of-statistics.md)
- [概率论与贝叶斯先验](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/probability-and-bayesian-prior.md)
- [正态分布](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/normal-distribution.md)
- [贝叶斯概率](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/bayes-probability.md)
- [概率符号说明](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/probability-symbol-explaination.md)
- [共轭先验](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/conjugate-prior.md)
- [信息论](https://luweikxy.gitbook.io/machine-learning-notes/statistics-and-information-theory/information-theory.md)
- [数值计算与优化](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization.md)
- [最小二乘法](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/least-square-method.md)
- [等式约束的拉格朗日乘子法](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/lagrangian-multiplier-method.md)
- [凸优化](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/convex-optimization.md)
- [凸集和凸函数](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/convex-optimization/convex-set-and-convex-function.md)
- [凸优化问题](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/convex-optimization/convex-optimization-problem.md)
- [梯度下降算法](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm.md)
- [随机梯度下降SGD](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/sgd.md)
- [动量法Momentum](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/momentum.md)
- [牛顿动量Nesterov](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/nesterov.md)
- [AdaGrad](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/adagrad.md)
- [RMSprop](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/rmsprop.md)
- [Adadelta](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/adadelta.md)
- [Adam](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/adam.md)
- [Nadam](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/nadam.md)
- [AMSGrad](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/amsgrad.md)
- [AdasMax](https://luweikxy.gitbook.io/machine-learning-notes/gradient-descent-algorithm/adamax.md)
- [概率图模型](https://luweikxy.gitbook.io/machine-learning-notes/probability-graphical-model.md)
- [概率图模型概论](https://luweikxy.gitbook.io/machine-learning-notes/probability-graphical-model/probability-graphical-model-introduction.md)
- [概率图简介](https://luweikxy.gitbook.io/machine-learning-notes/probability-graphical-model/probability-graph-introduction.md)
- [编程基础](https://luweikxy.gitbook.io/machine-learning-notes/bian-cheng-ji-chu.md)
- [linux](https://luweikxy.gitbook.io/machine-learning-notes/linux.md)
- [linux常用命令](https://luweikxy.gitbook.io/machine-learning-notes/linux/linux-command.md)
- [shell](https://luweikxy.gitbook.io/machine-learning-notes/linux/shell.md)
- [输入输出重定向](https://luweikxy.gitbook.io/machine-learning-notes/linux/shell/input_output_redirection.md)
- [python](https://luweikxy.gitbook.io/machine-learning-notes/python.md)
- [python简介](https://luweikxy.gitbook.io/machine-learning-notes/python/introduction.md)
- [python语法](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar.md)
- [基础语法](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/basis.md)
- [数据结构](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/data-structure.md)
- [过程控制](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/process-control.md)
- [函数](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/function.md)
- [类和对象](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/class.md)
- [文件操作](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/file.md)
- [正则表达式](https://luweikxy.gitbook.io/machine-learning-notes/python/grammar/regular-expression.md)
- [python库](https://luweikxy.gitbook.io/machine-learning-notes/python/library.md)
- [numpy](https://luweikxy.gitbook.io/machine-learning-notes/python/library/numpy.md)
- [pandas](https://luweikxy.gitbook.io/machine-learning-notes/python/library/pandas.md)
- [scipy](https://luweikxy.gitbook.io/machine-learning-notes/python/library/scipy.md)
- [matplotlib](https://luweikxy.gitbook.io/machine-learning-notes/python/library/matplotlib.md)
- [scikit-learn](https://luweikxy.gitbook.io/machine-learning-notes/python/library/scikit-learn.md)
- [python应用](https://luweikxy.gitbook.io/machine-learning-notes/python/application.md)
- [排序算法](https://luweikxy.gitbook.io/machine-learning-notes/python/application/sort.md)
- [数据结构与算法](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms.md)
- [数据结构](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/data-structures.md)
- [算法思想](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms.md)
- [排序](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms/sort.md)
- [堆排序](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms/sort/heap-sort.md)
- [归并排序](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms/sort/merge-sort.md)
- [快速排序](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms/sort/quick-sort.md)
- [递归](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/algorithms/recursion.md)
- [剑指offer](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer.md)
- [链表](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/list.md)
- [二叉树](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/binary-tree.md)
- [数组](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/array.md)
- [字符串](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/string.md)
- [栈和队列](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/stack-and-queue.md)
- [递归](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/recursion-and-back-tracking.md)
- [动态规划](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/dynamic-programming.md)
- [其他](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/jianzhi-offer/others.md)
- [leetcode](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/leetcode.md)
- [编程语言](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/programming-language.md)
- [c++](https://luweikxy.gitbook.io/machine-learning-notes/data-structures-and-algorithms/programming-language/c++.md)
- [Hadoop](https://luweikxy.gitbook.io/machine-learning-notes/hadoop.md)
- [Hadoop简介](https://luweikxy.gitbook.io/machine-learning-notes/hadoop/hadoop-introduction.md)
- [MapReduce](https://luweikxy.gitbook.io/machine-learning-notes/hadoop/map-reduce.md)
- [Hive](https://luweikxy.gitbook.io/machine-learning-notes/hive.md)
- [Spark](https://luweikxy.gitbook.io/machine-learning-notes/spark.md)
- [TensorFlow](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow.md)
- [TensorFlow1.0](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0.md)
- [TensorFlow基础](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/basis.md)
- [TensorFlow基础概念解析](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/basic-concept-analysis.md)
- [TensorFlow机器学习基础](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/tensorflow-ji-qi-xue-xi-ji-chu.md)
- [Tensorflow分布式架构](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow1.0/distributed-architecture.md)
- [TensorFlow2.0](https://luweikxy.gitbook.io/machine-learning-notes/tensorflow/tensorflow2.0.md)
- [PyTorch](https://luweikxy.gitbook.io/machine-learning-notes/pytorch.md)
- [机器学习](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning.md)
- [机器学习概论](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-introduction.md)
- [特征工程](https://luweikxy.gitbook.io/machine-learning-notes/feature-engineering.md)
- [感知机](https://luweikxy.gitbook.io/machine-learning-notes/perceptron.md)
- [k近邻](https://luweikxy.gitbook.io/machine-learning-notes/k-nearest-neighbor.md)
- [朴素贝叶斯](https://luweikxy.gitbook.io/machine-learning-notes/naive-bayes.md)
- [线性模型](https://luweikxy.gitbook.io/machine-learning-notes/linear-model.md)
- [最大熵模型](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/maximum-entropy-model.md)
- [指数族分布与广义线性模型](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/exponential-family-distribution-and-generalized-linear-model.md)
- [线性回归](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/linear-regression.md)
- [Ridge回归（岭回归）](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/linear-regression/ridge-hui-gui-ling-hui-gui.md)
- [Lasso回归](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/linear-regression/lasso-hui-gui.md)
- [Logistic回归-对数几率回归](https://luweikxy.gitbook.io/machine-learning-notes/linear-model/logistic-regression.md)
- [决策树](https://luweikxy.gitbook.io/machine-learning-notes/decision-tree.md)
- [支持向量机](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine.md)
- [线性可分支持向量机与硬间隔最大化](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine/linear-separable-svm.md)
- [线性支持向量机与软间隔最大化](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine/linear-svm.md)
- [非线性支持向量机与核函数](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine/nonlinear-svm-and-kernel-function.md)
- [序列最小最优化算法SMO](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine/smo.md)
- [SVM总结](https://luweikxy.gitbook.io/machine-learning-notes/support-vector-machine/svm-summary.md)
- [集成学习](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning.md)
- [Bagging](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/bagging.md)
- [随机森林](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/bagging/random-forest.md)
- [Boosting](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting.md)
- [AdaBoost](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/adaboost.md)
- [GradientBoosting](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/gradientboosting.md)
- [GBDT](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/gradientboosting/gbdt.md)
- [XGBoost](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/gradientboosting/xgboost.md)
- [XGBoost理论](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/gradientboosting/xgboost/xgboost-theory.md)
- [XGBoost实践](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/boosting/gradientboosting/xgboost/xgboost-practice.md)
- [Stacking](https://luweikxy.gitbook.io/machine-learning-notes/ensemble-learning/stacking.md)
- [降维](https://luweikxy.gitbook.io/machine-learning-notes/dimensionality-reduction.md)
- [PCA主成分分析](https://luweikxy.gitbook.io/machine-learning-notes/dimensionality-reduction/principal-component-analysis.md)
- [流形学习](https://luweikxy.gitbook.io/machine-learning-notes/dimensionality-reduction/manifold-learning.md)
- [EM算法](https://luweikxy.gitbook.io/machine-learning-notes/expectation-maximization-algorithm.md)
- [HMM隐马尔科夫模型](https://luweikxy.gitbook.io/machine-learning-notes/hidden-markov-model.md)
- [CRF条件随机场](https://luweikxy.gitbook.io/machine-learning-notes/conditional-random-field.md)
- [聚类](https://luweikxy.gitbook.io/machine-learning-notes/clustering.md)
- [k均值聚类](https://luweikxy.gitbook.io/machine-learning-notes/clustering/k-means-clustering.md)
- [高斯混合模型](https://luweikxy.gitbook.io/machine-learning-notes/clustering/gaussian-mixture-model.md)
- [主题模型](https://luweikxy.gitbook.io/machine-learning-notes/topic-model.md)
- [LDA隐狄利克雷分布](https://luweikxy.gitbook.io/machine-learning-notes/topic-model/latent-dirichlet-allocation.md)
- [知识点](https://luweikxy.gitbook.io/machine-learning-notes/tips.md)
- [损失函数](https://luweikxy.gitbook.io/machine-learning-notes/tips/loss-function.md)
- [负采样](https://luweikxy.gitbook.io/machine-learning-notes/tips/negtive-sampling.md)
- [机器学习算法总结](https://luweikxy.gitbook.io/machine-learning-notes/machine-learning-algorithm-summary.md)
- [深度学习](https://luweikxy.gitbook.io/machine-learning-notes/deep-learning.md)
- [深度学习概论](https://luweikxy.gitbook.io/machine-learning-notes/deep-learning-introduction.md)
- [ANN人工神经网络](https://luweikxy.gitbook.io/machine-learning-notes/artificial-neural-network.md)
- [知识点](https://luweikxy.gitbook.io/machine-learning-notes/tips-1.md)
- [Batch Normalization](https://luweikxy.gitbook.io/machine-learning-notes/tips-1/batch-normalization.md)
- [CNN卷积神经网络](https://luweikxy.gitbook.io/machine-learning-notes/convolutional-neural-network.md)
- [深度学习优化算法](https://luweikxy.gitbook.io/machine-learning-notes/shen-du-xue-xi-you-hua-suan-fa.md)
- [RNN循环神经网络](https://luweikxy.gitbook.io/machine-learning-notes/recurrent-neural-network.md)
- [LSTM长短期记忆网络](https://luweikxy.gitbook.io/machine-learning-notes/long-short-term-memory-networks.md)
- [GRU门控循环单元](https://luweikxy.gitbook.io/machine-learning-notes/gated-recurrent-unit.md)
- [GNN图神经网络](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks.md)
- [GNN图神经网络综述](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-neural-networks-review.md)
- [GCN图卷积网络](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks.md)
- [GCN图卷积网络初步理解](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-tu-juan-ji-wang-luo-chu-bu-li-jie.md)
- [GCN图卷积网络的numpy简单实现](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-tu-juan-ji-wang-luo-de-numpy-jian-dan-shi-xian.md)
- [GCN图卷积网络本质理解](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-essential-understand.md)
- [GCN图卷积网络全面理解](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/gcn-comprehensive-understand.md)
- [SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS ICLR2017](https://luweikxy.gitbook.io/machine-learning-notes/graph-neural-networks/graph-convolutional-networks/semi-supervised-classification-with-graph-convolutional-networks.md)
- [神经网络架构搜索](https://luweikxy.gitbook.io/machine-learning-notes/neural-architecture-search.md)
- [Weight-Agnostic-Neural-Networks Google2019](https://luweikxy.gitbook.io/machine-learning-notes/neural-architecture-search/weight-agnostic-neural-networks.md)
- [强化学习](https://luweikxy.gitbook.io/machine-learning-notes/qiang-hua-xue-xi.md)
- [强化学习概论](https://luweikxy.gitbook.io/machine-learning-notes/reinforcement-learning-introduction.md)
- [马尔科夫决策过程](https://luweikxy.gitbook.io/machine-learning-notes/markov-decision-processes.md)
- [动态规划](https://luweikxy.gitbook.io/machine-learning-notes/dynamic-programming.md)
- [无模型方法一：蒙特卡洛](https://luweikxy.gitbook.io/machine-learning-notes/model-free-methods-1-monte-carlo.md)
- [无模型方法二：时间差分](https://luweikxy.gitbook.io/machine-learning-notes/model-free-methods-2-time-difference.md)
- [无模型方法三：多步自举](https://luweikxy.gitbook.io/machine-learning-notes/model-free-methods-3-multi-step-bootstrap.md)
- [函数近似和深度网络](https://luweikxy.gitbook.io/machine-learning-notes/function-approximation-and-deep-network.md)
- [策略梯度算法](https://luweikxy.gitbook.io/machine-learning-notes/policy-gradient-algorithm.md)
- [深度强化学习](https://luweikxy.gitbook.io/machine-learning-notes/deep-reinforcement-learning.md)
- [基于模型的强化学习](https://luweikxy.gitbook.io/machine-learning-notes/model-based-reinforcement-learning.md)
- [强化学习前景](https://luweikxy.gitbook.io/machine-learning-notes/reinforcement-learning-prospect.md)
- [自然语言处理](https://luweikxy.gitbook.io/machine-learning-notes/natural-language-processing.md)
- [自然语言处理概论](https://luweikxy.gitbook.io/machine-learning-notes/natural-language-processing-introduction.md)
- [自然语言](https://luweikxy.gitbook.io/machine-learning-notes/natural-language.md)
- [语言模型和中文分词](https://luweikxy.gitbook.io/machine-learning-notes/language-model-and-chinese-word-segmentation.md)
- [word2vec](https://luweikxy.gitbook.io/machine-learning-notes/word2vec.md)
- [word2vec概述](https://luweikxy.gitbook.io/machine-learning-notes/word2vec/word2vec-introduction.md)
- [word2vec算法原理](https://luweikxy.gitbook.io/machine-learning-notes/word2vec/word2vec-algorithm-principle.md)
- [word2vec源码分析](https://luweikxy.gitbook.io/machine-learning-notes/word2vec/word2vec-source-code-analysis.md)
- [word2vec实践](https://luweikxy.gitbook.io/machine-learning-notes/word2vec/word2vec-practice.md)
- [Seq2Seq模型和Attention机制](https://luweikxy.gitbook.io/machine-learning-notes/seq2seq-and-attention-mechanism.md)
- [Self-Attention和Transformer](https://luweikxy.gitbook.io/machine-learning-notes/self-attention-and-transformer.md)
- [知识图谱](https://luweikxy.gitbook.io/machine-learning-notes/zhi-shi-tu-pu.md)
- [推荐系统](https://luweikxy.gitbook.io/machine-learning-notes/recommender-systems.md)
- [推荐系统概论](https://luweikxy.gitbook.io/machine-learning-notes/recommender-systems-introduction.md)
- [基础知识](https://luweikxy.gitbook.io/machine-learning-notes/ji-chu-zhi-shi.md)
- [进阶知识](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge.md)
- [机器学习](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/machine-learning.md)
- [Factorization Machines ICDM2010](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/machine-learning/factorization-machines.md)
- [embedding](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/embedding.md)
- [Network Embedding](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/embedding/network-embedding.md)
- [LINE: Large-scale Information Network Embedding](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/embedding/network-embedding/line-large-scale-information-network-embedding.md)
- [深度学习](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/deep-learning.md)
- [DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 2017](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/deep-learning/deepfm-a-factorization-machine-based-neural-network-for-ctr-prediction.md)
- [DSSM: Learning Deep Structured Semantic Models for Web Search using Clickthrough Data CIKM2013](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/deep-learning/learning-deep-structured-semantic-models-for-web-search-using-clickthrough-data.md)
- [图卷积网络](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/graph-convolutional-network.md)
- [Graph Convolutional Neural Networks for Web-Scale Recommender Systems KDD2018](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/graph-convolutional-network/graph-convolutional-neural-networks-for-web-scale-recommender-systems.md)
- [强化学习](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/reinforcement-learning.md)
- [DRN基于深度强化学习的新闻推荐模型](https://luweikxy.gitbook.io/machine-learning-notes/advanced-knowledge/reinforcement-learning/drn-a-deep-reinforcement-learning-framework-for-news-recommendation.md)
- [业界应用](https://luweikxy.gitbook.io/machine-learning-notes/industry-application.md)
- [YouTube](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/youtube.md)
- [Deep Neural Networks for YouTube Recommendations RecSys2016](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/youtube/deep-neural-networks-for-youtube-recommendations-recsys2016.md)
- [Alibaba](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/alibaba.md)
- [Learning Tree-based Deep Model for Recommender Systems KDD2018](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/alibaba/learning-tree-based-deep-model-for-recommender-systems.md)
- [Deep Interest Network for Click-Through Rate Prediction KDD2018](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/alibaba/deep-interest-network-for-click-through-rate-prediction.md)
- [DSIN:Deep Session Interest Network for Click-Through Rate Prediction IJCAI2019](https://luweikxy.gitbook.io/machine-learning-notes/industry-application/alibaba/dsin-deep-session-interest-network-for-click-through-rate-prediction.md)


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