{"published":"2016-03-02 07:44:10","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhigepon.hatenablog.com%2Fentry%2F20160302%2F1456872250\" title=\"BerkeleyX: CS190.1x Scalable Machine Learning \u3092\u4fee\u4e86\u3057\u305f - higepon blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://higepon.hatenablog.com/","author_name":"higepon","image_url":null,"width":"100%","provider_name":"Hatena Blog","type":"rich","provider_url":"https://hatena.blog","blog_title":"higepon blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/higepon/","categories":[],"title":"BerkeleyX: CS190.1x Scalable Machine Learning \u3092\u4fee\u4e86\u3057\u305f","description":"CS190.1x Courseware | edX\u3002 Andrew Ng \u306e\u30b3\u30fc\u30b9\u3067\u5b66\u3093\u3060\u6a5f\u68b0\u5b66\u7fd2 Linear / Logistic regression \u7b49\u3005\u3092\u5927\u91cf\u30c7\u30fc\u30bf\u306e\u6642\u306b\u3069\u3046\u5206\u6563\u3055\u305b\u308b\u3068\u3044\u3046\u8a71\u3002Apache Spark \u3092 Python \u304b\u3089\u5229\u7528\u3057\u3066\u9032\u3081\u3066\u3044\u304d\u307e\u3059\u3002Apache Spark \u306f\u826f\u304f\u3067\u304d\u3066\u3044\u308b\u3002\u7279\u306b ML \u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u4eca\u5f8c\u305f\u304f\u3055\u3093\u4f7f\u308f\u308c\u3066\u3044\u304f\u306e\u3060\u306a\u3068\u60f3\u50cf\u3002 \u30af\u30e9\u30b9\u81ea\u4f53\u306f\u52d5\u753b\u304c\u82e5\u5e72\u9000\u5c48\u3002\u3084\u3063\u3071\u308a\u5148\u751f\u304c\u677f\u66f8\u3092\u3057\u306a\u3044\u3068\u3001\u30b9\u30e9\u30a4\u30c9\u3092\u8aad\u307f\u4e0a\u3052\u308b\u3060\u3051\u306b\u306a\u308a\u5358\u8abf\u306b\u306a\u308a\u304c\u3061\u3002","url":"https://higepon.hatenablog.com/entry/20160302/1456872250"}