¼ÓÈëÎÒÃÇ
ÈôÊÇÄãÊÇÒ»¸ö´´?ÒâÕߣ¬ÏëÒªÔÚ´´Òâд×÷µÄõè¾¶ÉÏÈ¡µÃ¸ü´ó?µÄ³É¼¨£¬ÄÇô¼ÓÈë17.C-Æð²ÝÍøÊÇÒ»¸öÃ÷ÖǵÄÑ¡Ôñ¡£Í¨¹ýÎÒÃǵÄÏêϸָÄÏ¡¢ÊÊÓù¤¾ßºÍרҵ֧³Ö£¬Ä㽫Äܹ»ÕÒµ½Áé¸Ð£¬Òý·¢´´Ò⣬ÌáÉýд×÷ˮƽ£¬ÊµÏÖÎÞÏÞ¿ÉÄÜ¡£ÈÃÎÒÃÇÒ»Æð£¬ÔÚ´´ÒâÖ®ÂÃÖÐÅäºÏǰ½ø£¡
ÔÚ17.C-Æð²ÝÍø£¬ÎÒÃDz»µ«ÌṩÁËһϵÁд´Òâд×÷µÄ¹¤¾ßºÍ×ÊÔ´£¬»¹ÖÂÁ¦ÓÚΪÿһλ´´ÒâÕß´´ÔìÒ»¸öÏ໥֧³Ö?ºÍÅäºÏÉú³¤µÄÉçÇøÇéÐΡ£ÎÒÃÇÉîÖª£¬´´Òâд×÷²»µ«ÊÇСÎÒ˽¼ÒµÄÆð¾¢£¬¸üÐèÒªÉçÇøµÄÁ¦Á¿ºÍÖ§³Ö¡£Òò´Ë£¬ÎÒÃÇΪ´´ÒâÕßÌṩÁ˶àÖÖ»¥¶¯ºÍ·ÖÏíµÄƽ̨£¬ÈÃÄãÔÚ´´ÒâÖ®ÂÃÖÐÕÒµ½¸ü¶àµÄÖ§³ÖºÍÁé¸Ð¡£
ʹÓó¡¾°ËÄ£ºÖ´·¨Óë¹æÔòÎļþ
Ö´·¨Óë¹æÔòÎļþµÄ½¨ÉèºÍ¹ÜÀíÐèÒªÑÏ¿áµÄÃûÌú͸߶ȵÄ׼ȷÐÔ¡£Æð²ÝÍøÆ½Ì¨µÄרҵģ°å¿âºÍ×Ô¶¯»¯¹¤¾ß£¬Îª×´Ê¦ºÍÖ´·¨ÕÕÁÏÌṩÁ˸ßЧµÄ½â¾ö¼Æ»®¡£Æ½Ì¨ÄÚÖõÄÖ´ÊõÊýÓï¿âºÍÎĵµÉóºË¹¤¾ß£¬¿ÉÒÔ×ÊÖúÓû§¿ìËÙÌìÉúÇкÏÖ´·¨±ê×¼µÄÌõÔ¼¡¢ÐÒ顢Ѷ¶ÏÊéµÈÎļþ£¬²¢Í¨¹ýÔÚÏßÐ×÷¹¦Ð§£¬È·±£ÎļþµÄ¶àÈËÉóºËºÍÐ޸ģ¬Ìá¸ßÁËÊÂÇéµÄ׼ȷÐÔºÍЧÂÊ¡£
ÌáÉýÓû§ÌåÑéµÄС¼¼ÇÉ
°´ÆÚÌæ»»ÃÜÂ룺ΪÁ˰ü¹ÜÕË»§Çå¾²£¬½¨ÒéÄãÿ¸ôÒ»¶Îʱ¼ä°´ÆÚÌæ»»ÃÜÂë¡£
ÆôÓÃË«ÖØÑéÖ¤£ºÈôÊÇÆ½Ì¨Ìá¹©Ë«ÖØÑéÖ¤¹¦Ð§£¬Ò»¶¨Òª¿ªÆô£¬Õ⽫ÔöÌíÕË»§µÄÇå¾²ÐÔ¡£
¼á³ÖÓÊÏäµÄÓÐÓÃÐÔ£ºÈ·±£ÄãÌṩµÄÓÊÏ䵨ַÊÇÓÐÓõ쬲¢?ÇÒÄܹ»ÊµÊ±²éÊÕÏà¹ØÓʼþ¡£
¹Ø×¢¸üÐÂ֪ͨ£ºÆ½Ì¨»áͨ¹ýÓʼþ»òÆäËû·½·¨Í¨ÖªÄãй¦Ð§ºÍÇå¾²¸üУ¬Çëʵʱ¹Ø×¢²¢¸üС£
·½Æ½Ì¨µÇ¼°ì·¨
Ñ¡ÔñµÚÈý·½µÇ¼£ºÔÚµÇ?¼½çÃæÖУ¬Äã¿ÉÒÔ¿´µ½Î¢ÐÅ¡¢QQ¡¢GoogleÆ·¼¶Èý·½Æ½Ì¨µÄͼ±ê£¬Ñ¡ÔñÄãҪʹÓõĵǼ·½·¨¡£
ÊÚȨµÇ¼£ºµã»÷ÏìÓ¦µÄͼ±êºó£¬ÏµÍ³»áÖ¸µ¼Äã½øÈëµÚÈý·½Æ½Ì¨¾ÙÐÐÊÚȨµÇ¼¡£
ÌîдÐÅÏ¢£ºÔÚµÚÈý·½Æ½Ì¨ÖУ¬Ìîд²¢ÑéÖ¤ÏìÓ¦µÄµÇ¼ÐÅÏ¢¡£
·µ»Ø17.C-Æð²ÝÍø£ºÍê³ÉÊÚȨºó£¬ÏµÍ³½«×Ô¶¯½«ÄãÖØÐÂÖ¸µ¼?»Ø17.C-Æð²ÝÍø£¬²¢Íê³ÉµÇ¼¡£
Îĵµ±à¼Óë¹ÜÀí
½¨ÉèÐÂÎĵµ£ºµã»÷Ê×Ò³ÓÒÉϽǵġ°Ð½¨¡±°´Å¥£¬Ñ¡ÔñÎĵµÄ£°å»ò¿ÕȱÎĵµ×îÏȱ༡£
µ¼ÈëÎĵµ£ºÈôÊÇÄãÒÑÓÐÎĵµ£¬¿ÉÒÔµã»÷¡°µ¼È롱°´Å¥£¬Ñ¡ÔñÍâµØÎļþÉÏ´«ÖÁƽ̨¾ÙÐб༡£
ÉúÑÄÓëµ¼³ö£ºÎĵµ±à?¼Íê³Éºó£¬¿ÉÒÔµã»÷¡°ÉúÑÄ¡±°´Å¥½«ÎĵµÉúÑÄÔÚÆ½Ì¨£¬»òÕßµã»÷¡°µ¼³ö¡±°´Å¥½«ÎĵµÉúÑÄ?ΪPDF¡¢WordµÈÃûÌá£
×ܽá
17.C-Æð²ÝÍø×÷Ϊһ¸ö³äÂú»îÁ¦ºÍ´´ÒâµÄƽ̨£¬Îª´´ÒâÈË²ÅºÍÆóÒµÌṩÁËչʾ¡¢½»Á÷ºÍºÏ×÷µÄ×î¼Ñ¿Õ¼ä¡£Í¨¹ýÔÚÕâ¸öƽ̨ÉϵǼÈëÍø£¬Äú½«²»µ«ÄÜչʾ×Ô¼ºµÄ´´Ò⣬¸üÄÜ»ñµÃ?¸»ºñµÄ×ÊÔ´¡¢ÆÕ±éµÄ½»Á÷»ú»áºÍǿʢµÄÖ§³Ö¡£ÈÃÎÒÃÇÅäºÏÆÚ´ýÔÚ17.C-Æð²ÝÍøÉÏ£¬ÄúµÄ´´ÒâÔÚÊý×ÖÌìÏÂÕÀ·Å³öÔ½·¢Ò«Ñ۵ĹâÏß¡£
ÔÚÊý×Ö»¯Ê±´ú£¬´´ÒâÓëÁ¢ÒìÒѾ³ÉÎªÍÆ¶¯Éç»áǰ½øµÄÖ÷ÒªÒýÇæ¡£¶ø17.C-Æð²ÝÍø×÷Ϊһ¸ö´´ÒâÓëÁ¢ÒìµÄÖ÷Ҫƽ̨£¬Îª´´ÒâÈË²ÅºÍÆóÒµÌṩÁËÎÞÏ޵ĿÉÄÜ¡£±¾ÎĽ«ÉîÈë̽ÌÖÔõÑùͨ¹ý17.C-Æð²ÝÍøµÇ¼ÈëÍø£¬³ä·ÖÑéÕ¹ÄúµÄ´´ÒâDZÁ¦£¬ÊµÏÖСÎÒ˽¼ÒºÍÖ°ÒµµÄ¿çԽʽÉú³¤¡£
ʹÓûúеѧϰ¹¤¾ß
¹ØÓÚ´ó×ÚµÄËÑË÷Ч¹û£¬¿ÉÒÔʹÓûúеѧϰ¹¤¾ßºÍËã·¨À´ÖÇÄÜɸѡºÍ·ÖÀàÐÅÏ¢£¬´Ó¶øÌá¸ßÐÅÏ¢»ñÈ¡µÄЧÂʺÍ׼ȷÐÔ¡£ÀýÈ磬ʹÓÃPythonµÄscikit-learn¿â¾ÙÐÐÎÄÌìÖ°Àࣺ
fromsklearn.feature_extraction.textimportTfidfVectorizerfromsklearn.naive_bayesimportMultinomialNBfromsklearn.pipelineimportmake_pipeline#ʾÀýÊý¾Ýtexts="deeplearningtechniques","machinelearningapplications","deeplearningtrends"labels="deeplearning","machinelearning","deeplearning"#¹¹½¨Ä£×Ómodel=make_pipeline(TfidfVectorizer(),MultinomialNB())model.fit(texts,labels)#Õ¹ÍûÐÂÊý¾Ýnew_text="deeplearningadvancements"prediction=model.predict(new_text)print(prediction)
У¶Ô£ººÎΰ(6cEOas9M38Kzgk9u8uBurka8zPFcs4sd)



