1¸ßЧµÄÎĵµ×Ô¶¯ÌìÉú
17.C-Æð²ÝÍøÊ¹ÓÃÈ˹¤ÖÇÄÜÊÖÒÕ£¬ÊµÏÖÁ˸ßЧµÄÎĵµ×Ô¶¯ÌìÉú¡£Óû§Ö»Ðè¼òÆÓµÄÊäÈëºÍÉèÖã¬ÏµÍ³±ãÄÜÆ¾Ö¤Óû§ÐèÇóÌìÉú¸ßÖÊÁ¿µÄ?Îĵµ¡£Õâ²»µ«´ó´ó½ÚÔ¼ÁËʱ¼äºÍ¾«Éñ£¬»¹È·±£?ÁËÎĵµµÄÒ»ÖÂÐÔºÍרҵÐÔ¡£ÎÞÂÛÊÇÉÌÒµÌõÔ¼¡¢Ö´·¨Îļþ¡¢ÊÖÒÕ±¨¸æ£¬ÕÕÎôÒ»Ñùƽ³£Í¨Öª£¬17.C-Æð²ÝÍø¶¼ÄÜÇáËÉÓ¦¶Ô£¬ÎªÓû§Ìṩ¶¨ÖÆ»¯µÄ½â¾ö¼Æ»®¡£
Óû§·´ÏìÓëË¢ÐÂ
17.C-Æð²ÝÍøºÜÊÇÖØÊÓÓû§·´Ï죬ͨ¹ýÍøÂçÓû§µÄÒâ¼ûºÍ½¨Ò飬ƽ̨һֱÓÅ»¯ºÍË¢ÐÂÆä¹¦Ð§ºÍ·þÎñ¡£ÕâÖÖÓû§Çý¶¯µÄˢз½·¨£¬Ê¹µÃ17.C-Æð²ÝÍøÄܹ»Ê¼ÖÕ¼á³ÖÔÚÐÐÒµµÄÇ°ÑØ¡£
Ëæ×Å17.C-Æð²ÝÍøµÄÒ»Ö±Éý¼¶ºÍÓÅ»¯£¬ÖÇÄÜÆð²ÝµÄмÍÔªÒѾÖÜÈ«µ½À´£¬ÎªÖÖÖÖÓû§´øÀ´ÁËЧÂÊÓëÁ¢ÒìµÄÎÞÏÞ¿ÉÄÜ¡£±¾ÎĽ«½øÒ»²½Ì½ÌÖ17.C-Æð²ÝÍøÔõÑùͨ¹ýÖÇÄÜ»¯ÊֶΣ¬³¹µ×Àå¸ï¹Å°åÎĵµÆð²Ý·½·¨£¬ÎªÆóÒµºÍСÎÒ˽¼ÒÓû§´øÀ´Ø¨¹ÅδÓеÄЧÂÊÌáÉýºÍÁ¢Òì»ú»á¡£
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)
ÌṩÏêϸָÄÏ
ÔÚ17.C-Æð²ÝÍø£¬ÎÒÃÇÌṩÁË´ó×ÚµÄÏêϸָÄÏ£¬º¸ÇÁË´´Òâд×÷µÄ¸÷¸ö·½Ãæ¡£´ÓÔõÑù¹¹½¨Ò»¸öÒýÈËÈëʤµÄ¹ÊÊ£¬µ½ÔõÑù׫дһƪÓÐ˵·þÁ¦µÄÉÌÒµÎÄÕ£¬ÎÒÃǵÄÖ¸Ä϶¼¾ÓÉרҵ±àд£¬Ö¼ÔÚ×ÊÖúÄã½â¾öд×÷ÖеÄÖÖÖÖÌôÕ½¡£ÎÞÂÛÄãÊǸÕ×îÏÈʵÑé´´Òâд×÷£¬ÕÕ¾ÉÒѾÓÐһЩÂÄÀú£¬ÎÒÃǵÄÖ¸Ä϶¼Äܹ»ÎªÄãÌṩÓмÛÖµµÄ½¨æÅºÍ¼¼ÇÉ¡£
ÉçÇø»¥¶¯
ÔÚ17.C-Æð²ÝÍø£¬ÎÒÃǽ¨ÉèÁËÒ»¸ö¿ª·Å¡¢ÓѺõÄÉçÇøÇéÐΣ¬ÃãÀø´´ÒâÕßÖ®¼äµÄ»¥¶¯ºÍ½»Á÷¡£ÎÒÃǵÄÉçÇø°üÀ¨ÒÔϼ¸¸öÖ÷Òª²¿·Ö£º
´´Òâ·ÖÏíÇø£ºÕâÀïÊÇÒ»¸ö¿ª·ÅµÄ´´Òâ·ÖÏíÆ½Ì¨£¬Äã¿ÉÒÔÔÚÕâÀï·ÖÏíÄãµÄ´´Òâ×÷Æ·¡¢Ð´×÷ÐĵúÍÀֳɰ¸Àý¡£ÆäËû´´ÒâÕß¿ÉÒÔͨ¹ý̸Âۺ͵ãÔÞ£¬¸øÄãÌṩ½¨ÉèÐԵķ´ÏìºÍÖ§³Ö¡£ÎÊ´ðÇø£ºÎÞÂÛÄãÔÚд×÷Àú³ÌÖÐÓöµ½ÁËʲôÑùµÄÎÊÌ⣬¶¼¿ÉÒÔÔÚÕâÀïÌá³ö£¬ÆäËû´´ÒâÕß»òרҵµ¼Ê¦¶¼»áÆð¾¢×ÊÖúÄã½â¾öÎÊÌâ¡£
ÌÖÂÛÇø£ºÕâÀïÊÇÒ»¸öÉîÈë̽ÌÖ´´Òâд×÷¸÷¸ö·½ÃæµÄƽ̨£¬Äã¿ÉÒÔÔÚÕâÀïºÍÆäËû´´?ÒâÕßÒ»ÆðÌÖÂÛд×÷¼¼ÇÉ¡¢Êг¡Ç÷ÊÆºÍ´´ÒâÉú³¤µÄÇ°ÑØ»°Ìâ¡£
ʹÓÃʱ¼ä¹ÜÀí¹¤¾ß£º
ÍŽáʹÓÃʱ¼ä¹ÜÀí¹¤¾ß£¬Èç·¬ÇÑÖÓ£¨PomodoroTechnique£©£¬¿ÉÒÔ×ÊÖúÄ㼯ÖÐ×¢ÖØÁ¦£¬Ìá¸ßд×÷ЧÂÊ¡£Ã¿25·ÖÖÓ¼¯ÖÐд×÷£¬È»ºóÐÝÏ¢5·ÖÖÓ£¬ÕâÑù¿ÉÒÔ×èֹƣÀÍ£¬¼á³Ö¸ßЧµÄÊÂÇé״̬¡£
¡°17.C-Æð²ÝÍø¡±×÷Ϊһ¿î¹¦Ð§Ç¿Ê¢ÇÒÓû§ÌåÑéÓѺõÄд×÷ÖúÊÖ£¬Í¨¹ýÌṩ±ã½ÝµÄµÇ¼Èë¿Ú¡¢¸ßЧµÄÌø×ª»úÖÆºÍ¶àÖÖÌáÉýд×÷ЧÂʵļ¼ÇÉ£¬ÎªÓû§´øÀ´ÁËȫеÄд×÷ÌåÑé¡£ÎÞÂÛÄãÊÇÖ°³¡ÈËÊ¿¡¢×ÔÓÉÖ°ÒµÕßÕÕ¾ÉÄÚÈÝ´´×÷Õߣ¬¡°17.C-Æð²ÝÍø¡±¶¼½«³ÉΪÄãд×÷µÄµÃÁ¦ÖúÊÖ£¬×ÊÖúÄãÔÚÊý×Öд×÷ÁìÓòÓÎÈÐÓÐÓà¡£
Ï£ÍûÕâÆªÎÄÕÂÄÜ×ÊÖúÄã¸üºÃµØÏàʶ¡°17.C-Æð²ÝÍø¡±²¢ÌáÉýÄãµÄд×÷ЧÂÊ¡£ÈôÊÇÄãÉÐÓÐÈκÎÎÊÌ⣬»¶ÓÔÚÆ½Ì¨ÉÏÌáÎÊ»òÁªÏµ¿Í·þ£¬ÎÒÃǽ«½ß³ÏΪÄã·þÎñ¡£
У¶Ô£ºÍõСѾ(6cEOas9M38Kzgk9u8uBurka8zPFcs4sd)



