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folder:人工智能实战与应用课程
folder:22.让神经网络听懂故事
folder:49.时间序列分析
folder:47.迁移学习
folder:9.线性代数—矩阵、等价类和行列式
folder:55.强化学习（上）
folder:33.集群模型
folder:67.监督学习－分类
folder:14.Python进阶（上）
folder:56.强化学习（下）
folder:50.RNN
folder:36.升维大法之SVM
folder:64.数据呈现基础
folder:18.让神经网络看懂图象
folder:52.RNN时间序列预测
folder:2.高等数学—两个重要的极限定理
folder:62.计算机视觉深度学习入门工具篇
folder:46.图像识别综述
folder:41.PyTorch（上）
folder:20.预测简史
folder:32.模拟人类理性的决策树
folder:26.机器学习引入
folder:13.Python操作数据库、 Python爬虫
folder:15.Python进阶（下）
folder:27.分类问题
folder:29.机器学习背后的数学（上）
folder:70.人工智能与设计
folder:45.Resnet残差网络
folder:42.PyTorch（下）
folder:24.贝叶斯理论
folder:65.数据呈现进阶
folder:69.人工智能金融应用
folder:37.多层感知机DNN
folder:72.个性化推荐算法
folder:53.RNN深度理解
folder:7.高等数学—正态分布
folder:48.对抗网络
folder:59.计算机视觉深度学习入门结构篇
folder:23让机器来思考之强化学习简介
folder:39.BP算法
folder:40.卷积神经网络
folder:21.模拟人类思维的机器学习工具
folder:63.Scikit-Learn
folder:19.模拟人类大脑：神经网络的故事
folder:68.自然语言处理导入
folder:25.朴素贝叶斯和最大似然估计
folder:4.高等数学—泰勒展开
folder:8.线性代数—线性空间和线性变换
folder:16.人工智能如何改变我们的未来生活
folder:6.高等数学—积分
folder:34.PCA