{"blog_title":"APC \u6280\u8853\u30d6\u30ed\u30b0","published":"2024-06-14 14:32:10","url":"https://techblog.ap-com.co.jp/entry/2024/06/14/143210","width":"100%","type":"rich","categories":["Databricks_EN","Databricks","DAIS2024"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.ap-com.co.jp%2Fentry%2F2024%2F06%2F14%2F143210\" title=\"How McDonalds Uses ML to Optimize Restaurant Site Selection - APC \u6280\u8853\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","author_name":"ywchen","height":"190","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/apc_watanabe/20240607/20240607105046.png","blog_url":"https://techblog.ap-com.co.jp/","author_url":"https://blog.hatena.ne.jp/ywchen/","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","description":"Preface As McDonald's actively pushes to expand its global presence, the company utilizes advanced machine learning technologies to smartly determine potential new store locations. This segment delves into how mathematical models and sophisticated data processing refine these critical decisions, ult\u2026","title":"How McDonalds Uses ML to Optimize Restaurant Site Selection"}