(Image by Pixabay) "Top 10 Statistics Mistakes Made by Data Scientists"ã¨ããåºæ¿çãªã¿ã¤ãã«ã®è¨äºãåºã¦ããã®ãKDnuggetsçµç±ã§ç¥ãã¾ãããããã¼ã¿ãµã¤ã¨ã³ãã£ã¹ãããããããã¡ãªçµ±è¨å¦çãªèª¤ãããã10ãã¨ãããã¨ã§ãããã«ããªããããäºä¾ãè²ã è¼ã£ã¦ãã¦é¢ç½ãã§ãã ã¨ãããã¨ã§ãä»åã¯ãã®è¨äºãå ¨è¨³ã«ãªããªãç¯å²ã§æ訳ãã¦ããã®å 容ãåå³ãã¦ã¿ããã¨æãã¾ãï¼ç´è¨³ãã¦ãæå³ãåãã¥ããç®æãå¤ãã£ãããããªãã®é¨åãæ訳ãªããæ訳ãã¦ãã¾ãï¼ãããã訳ã®æ¹ãè¯ããªã©ã®ã³ã¡ã³ãããã°æ¯éãå¯ããã ããï¼ãè¨ãããããªã§ãããããããæµ·å¤è¨äºç´¹ä»ãããæã¯ãã¿åãã¨ãããã¨ã§ããæªããããããã å è¨äºã®å 容 1. Not fully understand objective functionï¼ç®çé¢æ°ãä½ã
{{#tags}}- {{label}}
{{/tags}}