专栏文章
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AI For Trading:Factor Returns (67)
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基于深度学习的人脸识别技术原理
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AI For Trading:Smoothing (66)
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AI For Trading:Z Score (65)
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AI For Trading:Ranking Exercise (64)
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AI For Trading:Ranking (63)
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AI For Trading:Sector Neutral Exercise (62)
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AI For Trading:Researching Alphas from Academic Papers (61)
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AI For Trading:Alpha Factors (60)
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AI For Trading:PCA as A Factor Model (59)
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AI For Trading:PCA Basics and Coding Exercises (58)
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AI For Trading:PCA Toy Problem (57)
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AI For Trading:Risk Factor Models with PCA (56)
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AI For Trading: SMB 和 HML (55)
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AI For Trading: Portfolio Variance (54)
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AI For Trading: Covariance Matrix of assets (53)
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AI For Trading: Factor Model of Asset Return (52)
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AI For Trading: Risk Factor Models (51)
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Python:深度学习开发图像分类器命令行环境运行 (八十五)
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python 命令行参数模块 argparse
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CNN 模型之密集连接卷积网络 DenseNet
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Python:通过深度学习开发图像分类器 (八十四)
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Python:PyTorch 迁移学习解决方案 GPU 提速 (八十三)
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Python:PyTorch 迁移学习 (八十二)
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Python:PyTorch 使用 Torchvision 加载数据集 (八十一)
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Pytorch 中 nn.Linear 函数解读
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