{"id":323946,"date":"2021-02-06T05:01:47","date_gmt":"2021-02-05T21:01:47","guid":{"rendered":"http:\/\/4563.org\/?p=323946"},"modified":"2021-02-06T05:01:47","modified_gmt":"2021-02-05T21:01:47","slug":"%e8%b7%9f%e9%a3%8e%ef%bc%9a-2020-%e9%98%85%e8%af%bb%e4%b9%a6%e5%8d%95%e9%87%91%e8%9e%8d%e7%a0%81%e5%86%9c%e5%90%91","status":"publish","type":"post","link":"http:\/\/4563.org\/?p=323946","title":{"rendered":"\u8ddf\u98ce\uff1a 2020 \u9605\u8bfb\u4e66\u5355(\u91d1\u878d\u7801\u519c\u5411)"},"content":{"rendered":"
\n
\n
\n

\u8ddf\u98ce\uff1a 2020 \u9605\u8bfb\u4e66\u5355(\u91d1\u878d\u7801\u519c\u5411) <\/h1>\n

<\/p>\n

\n
\u8cc7\u6df1\u5927\u4f6c : AlohaV2 <\/span> <\/i> 7<\/span> <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n
<\/p>\n

\u300a Python \u6570\u636e\u5206\u6790\u57fa\u7840\u6559\u7a0b, Numpy \u5b66\u4e60\u6307\u5357(\u7b2c\u4e8c\u7248)\u300b<\/h3>\n

\u82f1\u6587\u4e66\u540dNumpy Beginner’s Guide, Second Edition<\/em><\/p>\n

\u8584\u8584\u4e00\u672c\u4e66\uff0c\u4f5c\u4e3a Numpy \u5165\u95e8\u53ef\u4ee5\uff0c\u4f46\u662f\u6211\u66f4\u63a8\u8350 Numpy \u548c Pandas \u5b98\u65b9\u7684\u6587\u6863\uff0c\u56e0\u4e3a\u672c\u8d28\u4e0a\u90fd\u662f\u4e00\u4e9b\u63a5\u53e3\u4ecb\u7ecd\u548c\u4f8b\u5b50\uff0c\u8fd8\u4e0d\u5982\u76f4\u63a5\u641c\u6700\u65b0\u7684\u770b\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a2\/5<\/p>\n

\u300a\u91cf\u5316\u80a1\u7968\u7ec4\u5408\u7ba1\u7406\u2014\u2014\u79ef\u6781\u6027\u6295\u8d44\u7ec4\u5408\u6784\u5efa\u548c\u7ba1\u7406\u7684\u65b9\u6cd5\u300b<\/h3>\n

\u82f1\u6587\u540d\u662fQuantitative Equity Portfolio Management, An Active Approach to Portfolio Construction and Management<\/em>.<\/p>\n

\u8fd9\u672c\u4e66\u5bf9\u4e8e\u6211\u8fd9\u79cd\u91d1\u878d\u521d\u5b66\u8005\u662f\u5f88\u53cb\u597d\u7684\uff0c\u7531\u6d45\u5165\u6df1\u4ecb\u7ecd\u4e00\u4e9b\u91cf\u5316\u7684\u57fa\u672c\u6982\u5ff5\uff0c\u5168\u4e66\u7684\u516c\u5f0f\u91cf\u4e0d\u662f\u5f88\u591a\uff0c\u57fa\u672c\u4e0a\u80fd\u591f\u770b\u5f97\u61c2\u3002\u5168\u4e66\u4e3b\u8981\u56f4\u7ed5\u56e0\u5b50\u4ee5\u53ca\u80a1\u7968\u7ec4\u5408\u5c55\u5f00\uff0c\u4ece\u56e0\u5b50\u6a21\u578b\u7684\u6784\u5efa\u5230\u6295\u8d44\u7ec4\u5408\u7684\u6784\u5efa\uff0c\u518d\u5230\u4ea4\u6613\u6210\u672c\u548c\u7ee9\u6548\u5206\u6790\uff0c\u6574\u5957\u6d41\u7a0b\u90fd\u8fc7\u4e86\u4e00\u904d\u3002<\/p>\n

\u4e00\u4e9b\u7f3a\u70b9\uff1a\u4e00\u4e9b\u6df1\u5165\u7684\u5185\u5bb9\u662f\u4e00\u7b14\u5e26\u8fc7\u7684\u3002\u53e6\u5916\u5bfb\u89c5\u673a\u5668\u5b66\u4e60\u7684\u8bfb\u8005\u662f\u65e0\u6cd5\u4ece\u672c\u4e66\u4e2d\u83b7\u76ca\u7684\u3002\u8fd9\u4e2a\u8ddf\u8fd9\u672c\u4e66\u7684\u6027\u8d28\u6709\u5173\u3002\u603b\u7684\u6765\u8bf4\u662f\u4e00\u672c\u4e0d\u9519\u7684\u5165\u95e8\u4e66\uff0c\u7c7b\u6bd4\u4e00\u4e0b\u5c31\u662f\u300a C++ Primer \u300b\u4ee5\u4e0a\uff0c\u300a Effective C++\u300b\u672a\u6ee1\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a4\/5<\/p>\n

\u300a\u79ef\u6781\u6027\u6295\u8d44\u7ec4\u5408\u7ba1\u7406\u2014\u2014\u63a7\u5236\u98ce\u9669\u83b7\u53d6\u8d85\u989d\u6536\u76ca\u7684\u6570\u91cf\u65b9\u6cd5\u300b<\/h3>\n

A Quantitative Approach for Providing Superior Returns and Controlling Risk<\/em>.<\/p>\n

\u8fd9\u662f\u672c\u4e0d\u9519\u7684\u4e66\u3002\u4e0a\u9762\u4e00\u672c\u662f\u521d\u7ea7\uff0c\u8fd9\u672c\u6211\u8ba4\u4e3a\u662f\u4e2d\u7ea7\u3002\u4e66\u4e2d\u516c\u5f0f\u91cf\u548c\u96be\u5ea6\u660e\u663e\u9ad8\u4e86\u4e00\u8282\uff0c\u8bf4\u5b9e\u8bdd\u4e66\u4e2d\u7684\u4e00\u4e9b\u516c\u5f0f\u6211\u6ca1\u6709\u5b8c\u5168\u770b\u61c2\uff0c\u6240\u4ee5\u5b83\u662f\u503c\u5f97\u4f60\u9047\u5230\u95ee\u9898\u65f6\u518d\u7ec6\u770b\u4e00\u4e24\u904d\u7684\u90a3\u79cd\u4e66\u3002CAPM \u3001\u98ce\u9669\u3001\u6536\u76ca\u5206\u89e3\u3001\u4f30\u4ef7\u3001\u4fe1\u606f\u5904\u7406\u3001\u6267\u884c\u2026\u2026\u60f3\u627e\u7684\u91cf\u5316\u5173\u952e\u8bcd\uff0c\u91cc\u9762\u90fd\u6709\uff0c\u800c\u4e14\u4f8b\u5b50\u548c\u516c\u5f0f\u5e76\u5b58\u3002\u672c\u4e66\u4e2d\u4ecd\u4ee5\u56e0\u5b50\u4e3a\u7a81\u7834\u70b9\uff0c\u8ba8\u8bba\u03b1\u548c\u03b2\u6536\u76ca\uff0c\u4ee5\u53ca\u4e00\u4e22\u4e22\u673a\u5668\u5b66\u4e60\u7684\u82d7\u5934\u3002\u53e6\u5916\u6211\u89c9\u5f97\u8fd9\u672c\u4e66\u66f4\u50cf\u4e00\u672c\u6559\u6750\uff0c\u56e0\u4e3a\u540e\u9762\u8fd8\u6709\u7ec3\u4e60\u9898\u3002<\/p>\n

\u7f3a\u70b9\uff1a\u9700\u8981\u4e00\u4e9b\u7ebf\u6027\u4ee3\u6570\u57fa\u7840\u77e5\u8bc6\uff0c\u516c\u5f0f\u591a\u4e86\u4e00\u4e9b\u3002\u53e6\u5916\u6b64\u4e66\u8ba8\u8bba\u7684\u80a1\u7968\u64cd\u4f5c\u5468\u671f\u662f\u504f\u4f4e\u9891\u7684\uff08\u65e5\u9891\u3001\u5468\u9891\u4e3a\u4e3b\uff09\uff0c\u5e0c\u671b\u505a\u9ad8\u9891\u4e00\u70b9\u5206\u6790\u7684\u8bdd\uff0c\u53ef\u80fd\u7406\u8bba\u4f53\u7cfb\u4e0d\u80fd\u5b8c\u5168\u9002\u7528\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a4\/5<\/p>\n

Mastering the C++17 STL<\/em><\/h3>\n

\u8fd9\u672c\u4e66\u662f Kindle \u4e0a\u4e70\u7684\uff0c\u4e3b\u8981\u4ecb\u7ecd C++17 \u7684\u65b0\u7279\u6027\uff0c\u8bb2\u7684\u8fd8\u633a\u5168\u9762\uff0c\u5e76\u4e14\u6709\u7406\u6709\u636e\u6709\u4f8b\u5b50\u3002\u76f8\u6bd4 C++11\/14 \u4e4b\u6d41\uff0cC++17 \u5728\u8bed\u8a00\u7279\u6027\u4e0a\u53c8\u4e30\u5bcc\u4e86\u4e0d\u5c11\u3002\u81f3\u4e8e\u8fd9\u79cd\u66f4\u65b0\u662f\u597d\u662f\u574f\uff0c\u6211\u89c9\u5f97\u81f3\u5c11\u5b83\u6bd4 C++20 \u8ba9\u6211\u770b\u5f97\u61c2\u4e00\u4e9b\u5427\u3002<\/p>\n

\u63a8\u8350\u6307\u6570: 3\/5<\/p>\n

\u300a\u4e00\u4e5d\u516b\u56db\u300b<\/h3>\n

\u8fd9\u672c\u4e66\u662f\u5965\u5a01\u5c14\u7684\u7ecf\u5178\u4e4b\u4f5c\uff0c\u5176\u5b9e\u662f\u57fa\u4e8e\u73b0\u5b9e\u7684\u79d1\u5e7b\u3002\u6587\u4e2d\u7684\u4e00\u4e9b\u70b9\uff0c\u5f88\u9057\u61be\uff0c\u6211\u5728\u5f53\u4eca\u793e\u4f1a\u5df2\u7ecf\u770b\u5230\u4e86\u82d7\u5934\uff0c\u5e76\u4e14\u6211\u771f\u5e0c\u671b\u5b83\u4e0d\u4e0d\u8981\u7ee7\u7eed\u8fdb\u5c55\u4e0b\u53bb\u3002\u9274\u4e8e\u672c\u7ad9\u662f ICP \u5907\u6848\u7684\u826f\u597d\u7f51\u7ad9\uff0c\u6211\u5c31\u4e0d\u7ec6\u8bf4\u4e86\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a5\/5 \u540c\u6837\u63a8\u8350\u7684\u8fd8\u6709\u300a\u7f8e\u4e3d\u65b0\u4e16\u754c\u300b(\u63a8\u8350\u6307\u6570 3\/5)\uff0c\u5199\u7684\u6ca1\u8fd9\u672c\u6263\u4eba\u5fc3\u9b42\u3002<\/p>\n

\u300a Python \u6e90\u7801\u6df1\u5ea6\u5256\u6790\u300b<\/h3>\n

\u8fd9\u662f\u4e00\u4e2a\u5728\u7ebf\u4ed8\u8d39\u4e66\u7c4d\uff08\u4f5c\u8005\u4e0d\u662f\u6211\uff09https:\/\/www.imooc.com\/read\/76\u3002<\/p>\n

\u6709\u4e00\u672c Python2 \u65f6\u4ee3\u7684\u300a Python \u6e90\u7801\u5256\u6790\u300b\u662f\u975e\u5e38\u7ecf\u5178\u7684\uff0c\u4f46\u662f\u539f\u4f5c\u8005\u65ad\u66f4\u5f88\u4e45\u4e86\u3002\u8fd9\u672c\u770b\u4e0b\u6765\uff0c\u4f5c\u4e3a C++\/Python coder\uff0c\u6211\u57fa\u672c\u4e0a\u80fd\u5bf9 Python \u91cc\u9762\u53d1\u751f\u7684\u4e00\u4e9b\u7ec6\u8282\u6709\u66f4\u6df1\u7684\u4e86\u89e3\uff0c\u5e76\u4e14\u8fd9\u4e2a\u4e66\u7684\u63d2\u56fe\u914d\u7684\u5f88\u597d\uff0c\u6bd4\u9605\u8bfb\u5e72\u5df4\u5df4\u7684\u6587\u5b57\u66f4\u6709\u6548\u7387\u3002\u9700\u8981\u4e00\u70b9\u70b9\u7684 C++\u4ee5\u53ca\u64cd\u4f5c\u7cfb\u7edf\u3001\u6570\u636e\u7ed3\u6784\u7684\u80cc\u666f\u77e5\u8bc6\uff0c\u5c31\u80fd\u6bd4\u8f83\u6d41\u7545\u5730\u9605\u8bfb\u4e86\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a4\/5<\/p>\n

\u300a Python \u6df1\u5ea6\u5b66\u4e60\u300b<\/h3>\n

aka. \u57fa\u4e8e Keras \u7684 Python \u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u624b\u518c\u3002\u9002\u5408\u6211\u8fd9\u79cd\u673a\u5668\u5b66\u4e60\u83dc\uff0c\u4e66\u4e2d\u5185\u5bb9\u4ee5\u5b9e\u8df5\u4e3a\u4e3b\uff0c\u57fa\u7840\u77e5\u8bc6\u4ecb\u7ecd\u5730\u6bd4\u8f83\u5168\u9762\uff0c\u4f46\u662f\u4e00\u4e9b\u7ec6\u8282\u662f\u4e0d\u4f1a\u53bb\u6df1\u5165\u7684\u3002\u6709\u70b9\u50cf Tutorial \u5427\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a3\/5<\/p>\n

Hands-On Machine Learning for Algorithmic Trading: Design and Implement investment strategies based on smart algorithms that learn from data using Python<\/h3>\n

\u597d\u5bb6\u4f19\uff0c\u8fd9\u4e2a\u4e66\u540d\u591f\u957f\u7684\uff01\u8fd9\u672c\u4e66\u5199\u7684\u6709\u70b9\u201c\u5f3a\u884c\u62fc\u51d1\u201d\u7684\u611f\u89c9\uff0c\u524d\u9762\u5f00\u7bc7\u4ecb\u7ecd\u4e00\u4e9b\u91d1\u878d\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u57fa\u672c\u4e0a\u5c5e\u4e8e\u975e\u5e38\u6d45\u7684\u77e5\u8bc6\uff0c\u540e\u9762\u5f00\u59cb\u4ecb\u7ecd\u5404\u79cd ML \u6a21\u578b\uff0cTopic Modelling, Word Embedding, CNN, RNN, RL \u771f\u7684\u662f\u5e94\u6709\u5c3d\u6709\uff0c\u4f46\u662f\u4ecb\u7ecd\u5b8c\u4e00\u901a\u540e\uff0c\u548c\u201c\u56e0\u5b50\u201d\u201c\u91cf\u4ef7\u201d\u6cbe\u8fb9\u7684\u6bd4\u4f8b\u4e0d\u662f\u5f88\u5927\uff0c\u6709\u4e9b\u662f\u5f3a\u884c\u626f\u4e0a\u5173\u7cfb\uff0c\u5f53\u7136\u4f60\u53eb\u5b83\u201c\u57fa\u672c\u9762\u91cf\u5316\u201d\u6211\u4e5f\u4e0d\u5927\u597d\u53cd\u5bf9\u3002<\/p>\n

\u63a8\u8350\u6307\u6570\uff1a1\/5<\/p>\n<\/p><\/div>\n

\u5927\u4f6c\u6709\u8a71\u8aaa<\/b> (1<\/span>) <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n
    \n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : TomoyaOrz <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u611f\u8c22\u5206\u4eab <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n","protected":false},"excerpt":{"rendered":"

    \u8ddf\u98ce\uff1a 2020 \u9605\u8bfb\u4e66\u5355(\u91d1\u878d\u7801…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[],"_links":{"self":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/323946"}],"collection":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=323946"}],"version-history":[{"count":0,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/323946\/revisions"}],"wp:attachment":[{"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=323946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=323946"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=323946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}