# 猪猪のAI笔记 ## 猪猪のAI笔记 - [README](https://lang-yu.gitbook.io/mi-ai/readme.md) - [1.特征工程](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index.md) - [1.1.数值空间](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index/01.numeric.md) - [1.2.文本数据](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index/02.text.md) - [1.3.词袋到TF-IDF](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index/03.tfidf.md) - [1.4.分类变量](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index/04.category.md) - [1.5.数据降维：PCA](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index/05.pca.md) - [2.自然语言](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1.md) - [2.1.处理文本的机器](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1/01.concept.md) - [2.2.词频背后](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1/02.tf.md) - [2.3.神经网络基础](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1/03.nn.md) - [2.4.Word2Vec,词向量推理](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1/04.w2v.md) - [2.5.神经网络深入](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-1/05.nn-advanced.md) - [3.神经网络](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2.md) - [3.1.绪论](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/01.concept.md) - [3.2.机器学习](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/02.ml.md) - [3.3.线性模型](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/03.lm.md) - [3.4.前馈神经网络](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/04.forward.nn.md) - [3.5.卷积神经网络](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/05.cnn.md) - [3.6.循环神经网络](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/06.rnn.md) - [3.7.网络优化](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/07.nn.performance.md) - [3.8.注意力机制/外部记忆](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/08.nn.memory.md) - [3.9.无监督学习](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/00.index-2/09.nn.ul.md) - [4.XGboost](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/4.xgboost.md) - [4.1.基础和初探](https://lang-yu.gitbook.io/mi-ai/du-shu-bi-ji/4.xgboost/01.concept.md) - [CDA III](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index.md) - [1.数据挖掘](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/01.data.mining.md) - [2.特征工程](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/02.feature.md) - [3.自然语言](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/03.nlp.md) - [4.神经网络](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/04.nn.md) - [5.支持向量机](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/05.svm.md) - [6.集成学习](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/06.ensemble.md) - [7.朴素贝叶斯](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/07.bayes.md) - [8.决策树](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/08.dt.md) - [9.聚类](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/09.cluster.md) - [10.模型评估](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/10.modeling.md) - [11.关联规则](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/11.association.md) - [12.计算题知识点](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/12.calculation.md) - [13.计算题分析](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index/13.exam.md) - [题库分析](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi.md) - [深度学习](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/01.dl.md) - [机器学习-01](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/01.ml.md) - [机器学习-02](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/02.ml.md) - [机器学习-03](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/03.ml.md) - [机器学习-04](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/04.ml.md) - [机器学习-05](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/05.ml.md) - [机器学习-06](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/06.ml.md) - [机器学习-07](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/07.ml.md) - [机器学习-08](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/08.ml.md) - [机器学习-09](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/09.ml.md) - [机器学习-10](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/10.ml.md) - [Level III模拟（一）](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/01.l3-01.md) - [Level III模拟（二）](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/ti-ku-fen-xi/01.l3-02.md) - [知识点](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index-1.md) - [Transformer模型](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index-1/01.transfer.md) - [ELMO,BERT,GPT](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index-1/02.npl.md) - [正则化之L1,L2](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index-1/03.l-norm.md) - [距离详解](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/00.index-1/04.distance.md) - [K-RPA](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa.md) - [RPA行业展望](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/01.intro.md) - [命名规范和开发原则](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/02.name.md) - [脚本向导编程](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/03.script.md) - [K-RPA异常处理](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/04.error.md) - [K-RPA文件/目录操作](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/05.io.md) - [（高）K-RPA环境](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/adv-01.env.md) - [（高）K-RPA命名规范和开发原则](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/adv-02.name.md) - [（高）K-RPA脚本向导编程](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/adv-03.script.md) - [（实）01：安装K-RPA](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/act-01.install.md) - [（实）02：脚本向导编程](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/act-02.script.md) - [（实）03：完整案例](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/act-03.case.md) - [（实）04：文件和集成](https://lang-yu.gitbook.io/mi-ai/ke-cheng-xi-lie/k-rpa/act-04.io.md)