{"description":"\u8ad6\u6587 https://www.jpmorgan.com/content/dam/jpm/cib/complex/content/technology/ai-research-publications/pdf-8.pdf J. P. Morgan\u304b\u30892020\u5e74\u306b\u51fa\u3066\u3044\u308b\u8ad6\u6587\u3092\u3001\u4ee5\u4e0b\u3001\u8981\u7d04\u3002\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u554f\u984c\u3092\u56de\u907f\u3059\u308b\u305f\u3081\u306e\u30c7\u30fc\u30bf\u751f\u6210\u6280\u8853\u306b\u3064\u3044\u3066\u30b5\u30fc\u30d9\u30a4\u3057\u305f\u8ad6\u6587\u3002 \u554f\u984c \u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5834\u5408\u306b\u3001\u751f\u6210\u30c7\u30fc\u30bf (Synthetic Data)\u3092\u5229\u7528\u3067\u304d\u306a\u3044\u304b\uff1f \u30ea\u30a2\u30eb\u30c7\u30fc\u30bf\u306e\u7372\u5f97\u30fb\u5171\u6709\u304c\u56f0\u96e3\u306a\u5834\u5408 Histrical data\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u5834\u5408 Imbalance data\u306e\u5834\u5408 Deep Learning\u2026","provider_url":"https://hatena.blog","height":"190","categories":["\u8ad6\u6587\u30e1\u30e2","Finance"],"published":"2023-08-27 13:18:07","blog_title":"appricot\u2019s diary","author_url":"https://blog.hatena.ne.jp/appricot/","provider_name":"Hatena Blog","blog_url":"https://appricot.hatenadiary.jp/","version":"1.0","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fappricot.hatenadiary.jp%2Fentry%2F2023%2F08%2F27%2F131807\" title=\"Generating synthetic data in finance: opportunities, challenges and pitfalls ==&gt; \u8aad\u5f8c\u30e1\u30e2 - appricot\u2019s diary\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","image_url":null,"url":"https://appricot.hatenadiary.jp/entry/2023/08/27/131807","author_name":"appricot","title":"Generating synthetic data in finance: opportunities, challenges and pitfalls ==> \u8aad\u5f8c\u30e1\u30e2"}