无资料源码

├─【马士兵教育】AI人工智能工程师第1期
│&nBSp; &nBSp;&nBSp; &nBSp;01.概述and特征提取.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;02.线性回归1 第一个模型用来进行数值预测.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;03.从傻瓜到智能，梯度下降法学习法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;04.突破瓶颈，模型效果的提升.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;05.猛将起于卒伍，工业环境下的分类模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;06.损失函数推到解析和特征选择优化.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;07.到底好不好？模型评价指标讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;08.让模型看的更准更稳，正则优化.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;09.让学习更高效，数值优化和一只看不见的手.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;10.朴素贝叶斯模型：简单背后蕴含的有效.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;11.支持向量机SVM1-曾经的分类王者.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;12.SVM2-昔日辉煌，传统方法顶峰详解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;13.分类器背后的秘密和机器学习三大定律.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;14.三个臭皮匠顶一个诸葛亮-决策树和随机森林.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;15.集成学习：企业神器GBDT详解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;16.Kmeans聚类：无监督学习，让数据自己说话.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;17.DBScan聚类：kmeans升级，数据更具智能.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;18.LDA：文本数据大杀器，揭示文本背后的秘密.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;19.深度学习DNN01-深度学习开启人工智能新时代.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;20.编程工具keras讲解和深度学习为什么会有效.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;21.深度学习的学习算法，梯度下降法和链式法则.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;22.多分类函数softmax和学习方法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;23.深度学习非线性能力关键：激活函数详解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;24.深度学习避坑指南：权重初始化的方法和技巧.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;25.集成学习在深度学习中的应用dropout.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;26.梯度下降法的优化和一些先进的学习技术.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;27.项目一：数字图像识别，让机器具有一双眼睛.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;28.项目二：以图搜图技术详解实战01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;29.项目二：以图搜图技术详解实战02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;30.开始深度学习在自然语言处理领域的时代.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;31.Word2vec的一些特殊问题和优化方法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;32.项目三：推荐系统整体流程架构解读01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;33.项目三：A_B测试和相关指标解读02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;34.项目三：关键词抽取和基于文本的召回算法03.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;35.项目三：推荐系统04基于行为类的召回算法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;36.项目三：推荐系统05 AIrbnb优秀论文解读.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;37.CNN：计算机视觉标配，给AI一双慧眼.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;38.项目四：CNN识别彩色图像，就那么一会.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;39.一期课程内容总结.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;40.常见面试题解读01.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;41.常见面试题解读02.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;42.如何写简历.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;43.NLP技术在推荐搜索中的应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;44.逻辑回归和神经元.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;45.BP算法原理和训练方法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;46.常见激活函数讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;47.图像分类在企业中的应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;48.卷积的基本思想.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─【马士兵教育】AI人工智能工程师第2期
│&nBSp; &nBSp;&nBSp; &nBSp;01.开班典礼_学前必看.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;02.FM模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;03.推荐系统之协同过滤.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;04.推荐系统之召回.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;05.推荐系统之排序1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;06.推荐系统之排序2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;07.RNN和LSTM.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;08.语音合成方法介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;09.语音合成前端.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;10.端到端语音合成声学模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;11.语音合成声码器及端到端语音合成实战.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;12.LSTM和ELMO.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;13.实战项目：智能输入法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;14.输入法项目之新词发现.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;15.注意力模型Attention.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;16.注意力模型Self-Attention.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;17.Transformer和Bert.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;18.图像之文本检测.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;19.图像之文本识别.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;20.文本分类项目：分类任务简介、分类系统综述.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;21.文本分类项目：基本模型回顾 - NB、SVM.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;22.文本分类项目：基本模型回顾 - FastText.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;23.文本分类项目：系统集成、系统调优.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;24.文本分类项目：系统优化：实体信息.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;25.文本分类项目： 系统优化：图片分类.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;26.文本分类项目： 深度模型系统：TextCNN.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;27.Tensorflow Serving简介以及深度模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;28.高级图像技术1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;29.高级图像技术2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;30.高级图像技术3.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;31.高级图像技术4.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;32.海外项目：推荐系统入门简介.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;33.海外项目：Item2vec算法以及实际应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;34.海外项目：数据预处理.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;35.CTR预估算法sparselogistics regression.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;36.深度学习入门.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;37.海外项目：CNN &AMp; LSTM详细讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;38.海外项目：self-attention 机制讲解.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;39.海外项目：wide-Deep model代码实战.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;40.智能聊天机器人1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;41.智能聊天机器人2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
├─【马士兵教育】AI人工智能工程师第3期
│&nBSp; &nBSp;&nBSp; &nBSp;1.信息论入门-概率和信息.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;2.拉格朗日极值法和泛函分析入门.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;3.联合熵，条件熵，互信息，交叉熵.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;4.从信息论的角度解读机器学习.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;5.矩阵求导术.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;6.文本分类速览1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;7.文本分类速览2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;8.从数学的角度看embedding特征维度的选取.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;9.面试指导.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;10.AI架构设计.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;11.推荐系统综述.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;12.量化投资概述：量化投资靠什么赚钱.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;14.量化投资概述：交易市场介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;15.量化投资概述：策略类型介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;16.生成模型GAN.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;17.量化投资概述：风险案例.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;18.量化投资概述：量化工具，AI应用案例.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;19.生成模型VAE.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;20.GAN背后的秘密.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;21.量化投资概述：机器学习模型应用基础.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;22.量化投资概述：交易行为举例.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;23.PageRank算法1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;24.PageRank算法2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;25.期货量化交易：远期和期货介绍.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;26.期货量化交易：远期和期货定价.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;27.期货量化交易：远期和期货应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;28.期货量化交易：套期保值策略.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;29.textrank算法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;30.node2vec算法.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;31.期货量化交易：套期保值计算.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;32.期货量化交易：CAT产品及策略概述.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;35.期货量化交易：图模型在推荐系统中的应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;36.图模型在推荐系统中的应用2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;37.bert和他的朋友们.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;37.bert和他的朋友们2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;38.期货量化交易：套利策略.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;40.期货量化交易：策略回测.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;41.bert和他的朋友们3.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;42.bert和他的朋友们4.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;43.高频交易：市场微观结构及策略.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;44.高频交易：高频数据及因子计算.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;46.深度学习与语音识别技术基础1.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;46.深度学习与语音识别技术基础2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;47.高频交易：高频交易案例.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;48.高频交易：高频交易回测.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;49.语音识别之语音信号基础.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;50.语音识别之语音信号基础2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;51.语音识别之特征处理及HMM模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;52.高频交易：高频因子挖掘及高频做市策略.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;53.强化学习量化交易应用.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;53.强化学习量化交易应用2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;54.股票量化交易：股票发行.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;54.股票量化交易：股票发行2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;55.股票量化交易：打新策略及风险衡量2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;56.HMM-GMM模型.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;56.HMM-GMM模型2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;57.股票量化交易：现代投资组合理论.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;57.股票量化交易：现代投资组合理论2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;58.语音识别实战一.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;58.语音识别实战一2.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;59.股票量化交易：多因子模型理论-架构.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;59.股票量化交易：多因子模型理论.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;60.语音识别实战一.mp4
│&nBSp; &nBSp;&nBSp; &nBSp;
└─【马士兵教育】AI人工智能工程师第4期
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;1.数据的量化和特征提取.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;2.数据的量化和特征提取2.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;3.线性回归.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;4.逻辑回归.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;5.损失函数和正则项.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;6.分类模型的评价指标和多分类.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;7.逻辑回归的高级技巧.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;8.FM模型.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;9.Kmeans.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;10.深度学习入门.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;11.梯度下降和矩阵求导.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;12.速精机器学习12.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;13.速精机器学习13.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;14.速精机器学习14.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;15.速精机器学习15.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;16.速精机器学习16.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;17.速精机器学习17.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;18.速精机器学习18.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;19.速精机器学习19.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;20.速精机器学习20.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;21.速精机器学习21.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;22.速精机器学习22.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;23.速精机器学习23.mp4
&nBSp; &nBSp;&nBSp; &nBSp;&nBSp;&nBSp;24.速精机器学习24.mp4

*声明：课程资源购自网络，版权归原作者所有，仅供参考学习使用，严禁外传及商用，若侵犯到您的权益请联系客服删除。