{"id":3627,"date":"2023-03-12T21:55:17","date_gmt":"2023-03-12T21:55:17","guid":{"rendered":"https:\/\/bulutistan.com\/blog\/?p=3627"},"modified":"2024-01-20T10:37:08","modified_gmt":"2024-01-20T10:37:08","slug":"veri-bilimi-data-science-nedir-isletmelerin-veriye-yaklasimi-nasil-kullanmali","status":"publish","type":"post","link":"https:\/\/bulutistan.com\/blog\/veri-bilimi-data-science-nedir-isletmelerin-veriye-yaklasimi-nasil-kullanmali\/","title":{"rendered":"Veri Bilimi (Data Science) Nedir? \u0130\u015fletmelerin Veriye Yakla\u015f\u0131m\u0131, Nas\u0131l Kullanmal\u0131?"},"content":{"rendered":"<p><b>Veri bilimi<\/b><span style=\"font-weight: 400;\"> yani <\/span><b>data science<\/b><span style=\"font-weight: 400;\">, yeni i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in verileri yakalama, i\u015fleme ve analiz etme ile ilgilenen bir bilgisayar bilimi dal\u0131d\u0131r. Veri bilimcileri, farkl\u0131 kaynaklardan ve farkl\u0131 ba\u011flamlardan gelen \u00e7ok miktarda bilgiyle ilgilenir. Bu nedenle yapmalar\u0131 gereken i\u015flem genellikle \u00e7al\u0131\u015fmaya \u00f6zeldir ve \u00f6zel algoritmalar, yapay zeka (AI), makine \u00f6\u011frenimi ve insan yorumu kullanmay\u0131 i\u00e7erir. T\u0131p, astronomi, meteoroloji, pazarlama, sosyoloji, g\u00f6rsel efektler ve \u00e7ok daha fazlas\u0131 dahil olmak \u00fczere bir\u00e7ok end\u00fcstride h\u0131zla geni\u015fleyen geni\u015f bir aland\u0131r.<\/span><\/p>\n<h2 id=\"veri-bilimi-bilesenleri\">Veri Bilimi Bile\u015fenleri<\/h2>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-3629 aligncenter\" src=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri.jpeg\" alt=\"\" width=\"1000\" height=\"500\" srcset=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri.jpeg 1000w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri-300x150.jpeg 300w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri-768x384.jpeg 768w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri-380x190.jpeg 380w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri-550x275.jpeg 550w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-bilesenleri-800x400.jpeg 800w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Veri bilimi 3 b\u00f6l\u00fcmden olu\u015fur:<\/span><\/p>\n<h3 id=\"1-makine-ogrenimi\">1. Makine \u00d6\u011frenimi<\/h3>\n<p><span style=\"font-weight: 400;\">Makine \u00f6\u011frenimi, temel olarak makinelerin \u00f6\u011frenmesini sa\u011flamak ve onlar\u0131 g\u00fcnl\u00fck geli\u015fmelere uyum sa\u011flamaya haz\u0131rlamak i\u00e7in kullan\u0131lan algoritma ve matematiksel modelleri i\u00e7erir. \u00d6rne\u011fin, g\u00fcn\u00fcm\u00fczde ticaret ve finansal sistemlerde zaman serisi tahmini \u00e7ok fazla kullan\u0131lmaktad\u0131r. Makine, ge\u00e7mi\u015f veri modellerine dayanarak gelecek aylar veya y\u0131llar i\u00e7in sonu\u00e7lar\u0131 tahmin edebilir. Bu, makine \u00f6\u011freniminin \u00f6nemli bir uygulamas\u0131d\u0131r.<\/span><\/p>\n<h3 id=\"2-buyuk-veri\">2. B\u00fcy\u00fck Veri<\/h3>\n<p><span style=\"font-weight: 400;\">\u0130nsanlar her g\u00fcn web sitesi t\u0131klamalar\u0131, sipari\u015fler, videolar, resimler, yorumlar, makaleler, RSS beslemeleri vb. \u015feklinde \u00e7ok fazla veri \u00fcretir. Bu veriler genellikle yap\u0131land\u0131r\u0131lmam\u0131\u015ft\u0131r ve b\u00fcy\u00fck veri olarak adland\u0131r\u0131l\u0131r. B\u00fcy\u00fck veri ara\u00e7 ve teknikleri, temel olarak bu yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerin yap\u0131land\u0131r\u0131lm\u0131\u015f bir forma d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesine yard\u0131mc\u0131 olur. \u00d6rne\u011fin, birinin e-ticaret sitelerinde farkl\u0131 \u00fcr\u00fcnlerin fiyatlar\u0131n\u0131 takip etmek istedi\u011fini varsayal\u0131m. Web API&#8217;leri ve RSS feed&#8217;leri kullanarak farkl\u0131 web sitelerinden ayn\u0131 \u00fcr\u00fcnlerin verilerine eri\u015febilirler ve ard\u0131ndan bunlar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f forma d\u00f6n\u00fc\u015ft\u00fcrebilirler.<\/span><\/p>\n<h3 id=\"3-is-zekasi\">3. \u0130\u015f Zekas\u0131<\/h3>\n<p><span style=\"font-weight: 400;\">Bir\u00e7ok i\u015fletme her g\u00fcn \u00e7ok fazla veri \u00fcretir. Bu veriler dikkatli bir \u015fekilde analiz edildi\u011finde ve ard\u0131ndan grafikler i\u00e7eren g\u00f6rsel raporlarla sunuldu\u011funda, i\u015fletmeniz ad\u0131na iyi karar vermenizi sa\u011flayabilir. Bu, raporlar\u0131n hayata ge\u00e7irdi\u011fi kal\u0131p ve ayr\u0131nt\u0131lar\u0131 dikkatlice inceledikten sonra i\u015fletmenizin en iyi karar\u0131 almas\u0131na yard\u0131mc\u0131 olabilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in <\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"><span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"veri-bilimi-nasil-calisir\">Veri Bilimi Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n<p><span style=\"font-weight: 400;\">Kavramsal olarak, veri bilimi s\u00fcrecinin anla\u015f\u0131lmas\u0131 \u00e7ok basittir ve a\u015fa\u011f\u0131daki ad\u0131mlar\u0131 i\u00e7erir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u0130\u015f sorununu anlay\u0131n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ham verileri toplay\u0131n ve entegre edin.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verileri ke\u015ffedin, d\u00f6n\u00fc\u015ft\u00fcr\u00fcn, temizleyin ve haz\u0131rlay\u0131n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verilere dayal\u0131 modeller olu\u015fturun ve se\u00e7in.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modelleri test edin, ayarlay\u0131n ve da\u011f\u0131t\u0131n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modelleri izleyin, test edin, yenileyin ve y\u00f6netin.<\/span><\/li>\n<\/ul>\n<h2 id=\"veri-bilimi-sureci\">Veri Bilimi S\u00fcreci<\/h2>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-3630 aligncenter\" src=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci.jpeg\" alt=\"\" width=\"1000\" height=\"500\" srcset=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci.jpeg 1000w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci-300x150.jpeg 300w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci-768x384.jpeg 768w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci-380x190.jpeg 380w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci-550x275.jpeg 550w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-sureci-800x400.jpeg 800w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Veri bilimi s\u00fcrecinin a\u015famalar\u0131 a\u015fa\u011f\u0131daki \u015fekildedir:<\/span><\/p>\n<h3 id=\"1-kesif\">1. Ke\u015fif<\/h3>\n<p><span style=\"font-weight: 400;\">Ke\u015fif ad\u0131m\u0131, i\u015f sorununu yan\u0131tlaman\u0131za yard\u0131mc\u0131 olan, tan\u0131mlanm\u0131\u015f t\u00fcm dahili ve harici kaynaklardan veri almay\u0131 i\u00e7erir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veriler a\u015fa\u011f\u0131dakiler olabilir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Web sunucular\u0131ndan al\u0131nan g\u00fcnl\u00fckler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sosyal medyadan toplanan veriler<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Say\u0131m veri k\u00fcmeleri<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">API&#8217;leri kullanarak \u00e7evrimi\u00e7i kaynaklardan aktar\u0131lan veriler<\/span><\/li>\n<\/ul>\n<h3 id=\"2-hazirlik\">2. <b>Haz\u0131rl\u0131k<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Verilerde eksik de\u011ferler, bo\u015f s\u00fctunlar, yanl\u0131\u015f veri format\u0131 gibi temizlenmesi gereken bir\u00e7ok tutars\u0131zl\u0131k olabilir. Modellemeden \u00f6nce verileri i\u015flemeniz, ke\u015ffetmeniz ve ko\u015fulland\u0131rman\u0131z gerekir. Verileriniz ne kadar temiz olursa, tahminleriniz o kadar iyi olur.<\/span><\/p>\n<h3 id=\"3-model-planlama\">3. Model Planlama<\/h3>\n<p><span style=\"font-weight: 400;\">Bu a\u015famada girdi de\u011fi\u015fkenleri aras\u0131ndaki ili\u015fkiyi \u00e7izmek i\u00e7in y\u00f6ntem ve tekni\u011fi belirlemeniz gerekir. Bir model i\u00e7in planlama, farkl\u0131 istatistiksel form\u00fcller ve g\u00f6rselle\u015ftirme ara\u00e7lar\u0131 kullan\u0131larak ger\u00e7ekle\u015ftirilir. SQL analiz hizmetleri, R ve SAS\/eri\u015fim bu ama\u00e7la kullan\u0131lan ara\u00e7lardan baz\u0131lar\u0131d\u0131r.<\/span><\/p>\n<h3 id=\"4-model-olusturma\">4. Model Olu\u015fturma<\/h3>\n<p><span style=\"font-weight: 400;\">Bu ad\u0131mda as\u0131l model olu\u015fturma s\u00fcreci ba\u015flar. Burada veri bilimcisi, e\u011fitim ve test i\u00e7in veri k\u00fcmelerini da\u011f\u0131t\u0131r. E\u011fitim veri setine ili\u015fkilendirme, s\u0131n\u0131fland\u0131rma ve k\u00fcmeleme gibi teknikler uygulan\u0131r. Model haz\u0131rland\u0131ktan sonra \u201ctest\u201d veri setine kar\u015f\u0131 test edilir.<\/span><\/p>\n<h3 id=\"5-operasyonellestirme\">5. Operasyonelle\u015ftirme<\/h3>\n<p><span style=\"font-weight: 400;\">Bu a\u015famada raporlar, kodlar ve teknik belgelerle birlikte nihai temel al\u0131nan modeli teslim edersiniz. Model, kapsaml\u0131 testlerden sonra ger\u00e7ek zamanl\u0131 bir \u00fcretim ortam\u0131na da\u011f\u0131t\u0131l\u0131r.<\/span><\/p>\n<h3 id=\"6-sonuclari-bildirme\">6. Sonu\u00e7lar\u0131 Bildirme<\/h3>\n<p><span style=\"font-weight: 400;\">Bu a\u015famada, temel bulgular t\u00fcm payda\u015flara iletilir. Bu, modelden al\u0131nan girdilere dayal\u0131 olarak proje sonu\u00e7lar\u0131n\u0131n ba\u015far\u0131l\u0131 m\u0131 yoksa ba\u015far\u0131s\u0131z m\u0131 oldu\u011funa karar vermenize yard\u0131mc\u0131 olur.<\/span><\/p>\n<h2 id=\"veri-bilimi-neden-onemlidir\">Veri Bilimi Neden \u00d6nemlidir?<\/h2>\n<p><span style=\"font-weight: 400;\">\u0130nternet kullan\u0131c\u0131lar\u0131 her g\u00fcn yakla\u015f\u0131k 2,5 kentilyon bayt veri \u00fcretir. 2020&#8217;de d\u00fcnyadaki her insan g\u00fcnl\u00fck yakla\u015f\u0131k 146.880 GB veri \u00fcretiyordu ve 2025&#8217;te bunun 165 zettabayt olmas\u0131 bekleniyor. The Guardian&#8217;a g\u00f6re, 2012&#8217;de t\u00fcm verilerin yaln\u0131zca yakla\u015f\u0131k y\u00fczde 0,5&#8217;i analiz edildi. Bu, veri biliminde \u00e7ok b\u00fcy\u00fck miktarda i\u015f oldu\u011fu anlam\u0131na geliyor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu noktada basit veri analizi, verileri tek bir kaynaktan veya s\u0131n\u0131rl\u0131 miktarda veriden yorumlayabilir. Bununla birlikte, veri bilimi ara\u00e7lar\u0131, b\u00fcy\u00fck verileri ve birden \u00e7ok kaynaktan gelen verileri anlaml\u0131 bir \u015fekilde anlamak i\u00e7in kritik \u00f6neme sahiptir.\u00a0<\/span><\/p>\n<h2 id=\"veri-biliminin-avantajlari-nelerdir\">Veri Biliminin Avantajlar\u0131 Nelerdir?<\/h2>\n<p><span style=\"font-weight: 400;\">Veri analiti\u011fi teknolojisini kullanman\u0131n \u00f6nemli avantajlar\u0131 a\u015fa\u011f\u0131daki \u015fekildedir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Do\u011fru ara\u00e7lar, teknolojiler, algoritmalar ile verileri kullanabilir ve farkl\u0131 bir i\u015f avantaj\u0131na d\u00f6n\u00fc\u015ft\u00fcrebilirsiniz.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri bilimi, geli\u015fmi\u015f makine \u00f6\u011frenimi algoritmalar\u0131n\u0131 kullanarak doland\u0131r\u0131c\u0131l\u0131\u011f\u0131 tespit etmenize yard\u0131mc\u0131 olabilir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00d6nemli maddi kay\u0131plar\u0131 \u00f6nlemenize yard\u0131mc\u0131 olur.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Makinelerde zeka yetene\u011fi olu\u015fturmaya izin verir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">M\u00fc\u015fteri marka sadakatini \u00f6l\u00e7mek i\u00e7in duyarl\u0131l\u0131k analizi yapabilirsiniz.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Daha iyi ve daha h\u0131zl\u0131 kararlar alman\u0131z\u0131 sa\u011flar.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u0130\u015finizi geli\u015ftirmek i\u00e7in do\u011fru \u00fcr\u00fcn\u00fc do\u011fru m\u00fc\u015fteriye \u00f6nermenize yard\u0131mc\u0131 olur.<\/span><\/li>\n<\/ul>\n<h2 id=\"veri-bilimi-uygulamalari\">Veri Bilimi Uygulamalar\u0131<\/h2>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-3631 aligncenter\" src=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari.jpeg\" alt=\"\" width=\"1000\" height=\"500\" srcset=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari.jpeg 1000w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari-300x150.jpeg 300w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari-768x384.jpeg 768w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari-380x190.jpeg 380w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari-550x275.jpeg 550w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-uygulamalari-800x400.jpeg 800w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Veri biliminin baz\u0131 uygulamalar\u0131 a\u015fa\u011f\u0131daki \u015fekildedir:<\/span><\/p>\n<h3 id=\"1-internet-aramasi\">1. \u0130nternet aramas\u0131<\/h3>\n<p><span style=\"font-weight: 400;\">Google arama, belirli bir sonucu saniyenin \u00e7ok k\u0131sa bir b\u00f6l\u00fcm\u00fcnde aramak i\u00e7in veri bilimi teknolojisini kullan\u0131r.<\/span><\/p>\n<h3 id=\"2-oneri-sistemleri\">2. \u00d6neri sistemleri<\/h3>\n<p><span style=\"font-weight: 400;\">Facebook&#8217;ta &#8220;\u00f6nerilen arkada\u015flar&#8221; veya YouTube&#8217;da \u00f6nerilen videolar&#8221;, her \u015fey data science yard\u0131m\u0131yla yap\u0131l\u0131r.<\/span><\/p>\n<h3 id=\"3-goruntu-ve-konusma-tanima\">3. G\u00f6r\u00fcnt\u00fc ve konu\u015fma tan\u0131ma<\/h3>\n<p><span style=\"font-weight: 400;\">Veri bilimi tekni\u011finde \u00e7al\u0131\u015fan Siri, Google Asistan ve Alexa gibi sistemler konu\u015fman\u0131z\u0131 tan\u0131r. Facebook ise, data science yard\u0131m\u0131yla bir foto\u011fraf y\u00fckledi\u011finizde arkada\u015f\u0131n\u0131z\u0131 tan\u0131r.<\/span><\/p>\n<h3 id=\"4-oyun\">4. Oyun<\/h3>\n<p><span style=\"font-weight: 400;\">EA Sports, Sony ve Nintendo veri bilimi teknolojisini kullan\u0131r. Bu, oyun deneyiminizi geli\u015ftirmenize yard\u0131mc\u0131 olur. Oyunlar art\u0131k makine \u00f6\u011frenimi teknikleri kullan\u0131larak geli\u015ftirilir ve daha \u00fcst seviyelere ge\u00e7ti\u011finizde kendilerini g\u00fcncelleyebilir.<\/span><\/p>\n<h3 id=\"5-cevrimici-fiyat-karsilastirmasi\">5. \u00c7evrimi\u00e7i fiyat kar\u015f\u0131la\u015ft\u0131rmas\u0131<\/h3>\n<p><span style=\"font-weight: 400;\">PriceRunner, Junglee, Shopzilla, veri bilimi mekanizmas\u0131 \u00fczerinde \u00e7al\u0131\u015f\u0131r. Burada API&#8217;ler kullan\u0131larak ilgili web sitelerinden veriler getirilir.<\/span><\/p>\n<h2 id=\"veri-bilimi-teknolojisinin-zorluklari\">Veri Bilimi Teknolojisinin Zorluklar\u0131<\/h2>\n<p><span style=\"font-weight: 400;\">Veri bilimi teknolojisini kullanman\u0131n zorluklar\u0131 a\u015fa\u011f\u0131daki \u015fekildedir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Do\u011fru analiz i\u00e7in \u00e7ok \u00e7e\u015fitli bilgi ve veriler gereklidir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Yeterli veri bilimi yetenek havuzu mevcut de\u011fildir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Y\u00f6netim, bir veri bilimi ekibi i\u00e7in finansal destek sa\u011flamaz.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verilere zor eri\u015fim sa\u011flan\u0131r.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u0130\u015f karar vericileri verileri etkin bir \u015fekilde kullanmaz.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Veri bilimini ba\u015fkalar\u0131na a\u00e7\u0131klamak zordur.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gizlilik sorunlar\u0131 vard\u0131r.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00d6nemli alan uzman\u0131 eksikli\u011fi mevcuttur.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Bir i\u015fletme \u00e7ok k\u00fc\u00e7\u00fckse, veri bilimi ekibine sahip olamaz.<\/span><\/li>\n<\/ul>\n<h2 id=\"veri-bilimi-vs-veri-analitigi\">Veri Bilimi vs Veri Analiti\u011fi<\/h2>\n<p><span style=\"font-weight: 400;\">Veri analiti\u011fi yak\u0131ndan ili\u015fkili olmakla birlikte, bir i\u015fletmenin verilerinin neye benzedi\u011fini anlamak i\u00e7in kullan\u0131lan veri biliminin bir bile\u015fenidir. Veri bilimi, sorunlar\u0131 \u00e7\u00f6zmek i\u00e7in analitik \u00e7\u0131kt\u0131lar\u0131 al\u0131r. Sorunlar\u0131 a\u00e7\u0131klamak ve \u00e7\u00f6zmek i\u00e7in analizi bir ad\u0131m daha ileri g\u00f6t\u00fcr\u00fcr. Veri analiti\u011fi, ger\u00e7ekli\u011fin mevcut durumunu tan\u0131mlarken, veri bilimi bu verileri gelece\u011fi tahmin etmek veya anlamak i\u00e7in kullan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6zetle, bir veri bilimcisi, verilere bakt\u0131k\u00e7a ileriye bakma veya tahminde bulunma olas\u0131l\u0131\u011f\u0131 artar. Veri analisti ve veri aras\u0131ndaki ili\u015fki geriye d\u00f6n\u00fckt\u00fcr. Bir veri analistinin, daha \u00f6nce i\u00e7g\u00f6r\u00fcler i\u00e7in i\u015flenmi\u015f olan mevcut veri k\u00fcmelerini ara\u015ft\u0131rmak i\u00e7in belirli sorulara odaklanmas\u0131 daha olas\u0131d\u0131r.\u00a0<\/span><\/p>\n<h2 id=\"buyuk-veri-vs-veri-bilimi\">B\u00fcy\u00fck Veri vs Veri Bilimi<\/h2>\n<p><span style=\"font-weight: 400;\">Veriler, \u00e7evrimi\u00e7i sat\u0131n almalar, multimedya formlar\u0131, ara\u00e7lar, finansal g\u00fcnl\u00fckler, sens\u00f6rler, metin dosyalar\u0131 vb. \u00e7e\u015fitli kaynaklardan gelir. Bu veriler yap\u0131land\u0131r\u0131lmam\u0131\u015f, yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f veya yap\u0131land\u0131r\u0131lm\u0131\u015f olabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yap\u0131land\u0131r\u0131lmam\u0131\u015f veriler; bloglardan, dijital ses\/video beslemelerinden, dijital g\u00f6r\u00fcnt\u00fclerden, e-posta\u2019lardan, mobil cihazlardan, sens\u00f6rlerden, sosyal a\u011flardan ve tweetlerden, web sayfalar\u0131ndan ve \u00e7evrimi\u00e7i kaynaklardan gelen verileri i\u00e7erir. Yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f veriler, sistem g\u00fcnl\u00fck dosyalar\u0131ndan, XML dosyalar\u0131ndan ve metin dosyalar\u0131ndan gelen verileri i\u00e7erir. Halihaz\u0131rda bir \u015fekilde i\u015flenmi\u015f olan yap\u0131land\u0131r\u0131lm\u0131\u015f veriler, OLTP, RDBMS (veri tabanlar\u0131), i\u015flem verileri ve di\u011fer bi\u00e7imleri i\u00e7erir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bunlar\u0131n hepsi \u201cb\u00fcy\u00fck veri\u201ddir ve onu iyi kullanmak 21. y\u00fczy\u0131l\u0131n en \u00f6nemli konular\u0131ndan biridir. Basit i\u015f zekas\u0131 ara\u00e7lar\u0131 ve hatta veri analizi ara\u00e7lar\u0131 ile farkl\u0131 kaynaklardan gelen muazzam miktarda veriyi i\u015flemek kesinlikle m\u00fcmk\u00fcn de\u011fildir. Bunun yerine veri bilimi, i\u015fletmelere verileri analiz etmek, temizlemek, i\u015flemek ve verilerden anlaml\u0131 i\u00e7g\u00f6r\u00fcler \u00e7\u0131karmak i\u00e7in geli\u015fmi\u015f, karma\u015f\u0131k algoritmalar ve di\u011fer ara\u00e7lar sunar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri bilimi tek bir ara\u00e7, beceri veya y\u00f6ntem de\u011fildir. Bunun yerine, b\u00fcy\u00fck verileri i\u015flemek i\u00e7in uygulamal\u0131 istatistiksel ve matematiksel teori ve bilgisayar ara\u00e7lar\u0131n\u0131 kullanan bilimsel bir yakla\u015f\u0131md\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri biliminin temelleri, veri temizleme, ak\u0131ll\u0131 veri yakalama teknikleri ve veri madencili\u011fi ve programlaman\u0131n disiplinler aras\u0131 g\u00fc\u00e7l\u00fc y\u00f6nlerini birle\u015ftirir. Sonu\u00e7, veri bilimcinin ak\u0131ll\u0131 analiz i\u00e7in b\u00fcy\u00fck verileri yakalama, s\u00fcrd\u00fcrme ve haz\u0131rlama becerisidir.\u200d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, bazen iki rol kar\u0131\u015ft\u0131r\u0131lsa da, veri bilimcinin \u00e7al\u0131\u015fmas\u0131n\u0131 veri m\u00fchendisinden ay\u0131ran bir noktad\u0131r. Veri m\u00fchendisi, veri bilimcisinin birlikte \u00e7al\u0131\u015fmas\u0131 ve onlardan i\u00e7g\u00f6r\u00fcler almas\u0131 i\u00e7in veri k\u00fcmeleri haz\u0131rlar, ancak ak\u0131ll\u0131 analiz i\u015fi &#8220;veri bilimi m\u00fchendisleri&#8221;ne de\u011fil, veri bilimcilerine d\u00fc\u015fer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200d<\/span><span style=\"font-weight: 400;\">B\u00fcy\u00fck veri, veri bilimi alan\u0131nda kullan\u0131lan hammaddedir. H\u0131z\u0131, \u00e7e\u015fitlili\u011fi ve hacmi (3V&#8217;ler) ile karakterize edilen b\u00fcy\u00fck veri, verileri analiz etme tekniklerini sa\u011flayan veri biliminin ham maddesidir.<\/span><\/p>\n<h2 id=\"veri-madenciligi-vs-veri-bilimi\">Veri Madencili\u011fi vs Veri Bilimi<\/h2>\n<p><b>Veri madencili\u011fi<\/b><span style=\"font-weight: 400;\">, hem i\u015fletme hem de veri biliminde kullan\u0131lan bir tekniktir, veri bilimi ise ger\u00e7ek bir bilimsel \u00e7al\u0131\u015fma veya disiplin alan\u0131d\u0131r. <\/span><b>Veri madencili\u011finin amac\u0131<\/b><span style=\"font-weight: 400;\">, verileri belirli bir i\u015f amac\u0131 i\u00e7in daha kullan\u0131\u015fl\u0131 hale getirmektir. Buna kar\u015f\u0131l\u0131k veri bilimi, genellikle i\u015f ba\u011flam\u0131nda veri odakl\u0131 \u00fcr\u00fcn ve sonu\u00e7lar yaratmay\u0131 ama\u00e7lar.\u200d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri madencili\u011fi, b\u00fcy\u00fck miktarda ham, i\u015flenmemi\u015f veriyi ke\u015ffetmek veri biliminin s\u0131n\u0131rlar\u0131 i\u00e7inde oldu\u011fundan, \u00e7o\u011funlukla yap\u0131land\u0131r\u0131lm\u0131\u015f verilerle ilgilenir. Bununla birlikte, veri madencili\u011fi, veri bilimcilerinin yapabileceklerinin bir par\u00e7as\u0131d\u0131r ve bilimin bir par\u00e7as\u0131 olan bir beceridir.<\/span><\/p>\n<h2 id=\"veri-bilimi-vs-yapay-zeka\">Veri Bilimi vs Yapay Zeka<\/h2>\n<p><span style=\"font-weight: 400;\">Yapay zeka veya AI ifadesi sadece bilgisayarlarda sim\u00fcle edilmi\u015f insan beyni i\u015flevi anlam\u0131na gelir. Bu t\u00fcr bir beyin i\u015flevine i\u015faret eden \u00f6zellikler aras\u0131nda \u00f6\u011frenme, mant\u0131ksal ak\u0131l y\u00fcr\u00fctme ve kendi kendini d\u00fczeltme yer al\u0131r. Ba\u015fka bir deyi\u015fle, bir makine \u00f6\u011frenebildi\u011finde, \u00f6\u011frendi\u011fi gibi kendini d\u00fczeltebildi\u011finde ve kendi ba\u015f\u0131na ak\u0131l y\u00fcr\u00fct\u00fcp \u00e7\u0131kar\u0131mlar yapabildi\u011finde, bu bir yapay zekad\u0131r.<\/span><span style=\"font-weight: 400;\">\u200d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yapay zeka ya geneldir ya da dard\u0131r. Genel AI, filmlerde s\u0131kl\u0131kla g\u00f6rd\u00fc\u011f\u00fcm\u00fcz ak\u0131ll\u0131 bilgisayar t\u00fcrlerini ifade eder. Neredeyse insanlar gibi, hepsi de muhakeme ve d\u00fc\u015f\u00fcnce gerektiren \u00e7ok \u00e7e\u015fitli aktivitelerin \u00fcstesinden gelebilir.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bununla birlikte, dar AI, ayn\u0131 t\u00fcr d\u00fc\u015f\u00fcnme becerilerini kullanmay\u0131, ancak \u00e7ok spesifik g\u00f6revlerde kullan\u0131lmay\u0131 i\u00e7erir. \u00d6rne\u011fin, IBM&#8217;in Watson&#8217;\u0131, belirli t\u00fcrdeki t\u0131bbi kay\u0131tlar\u0131 te\u015fhis ama\u00e7l\u0131 olarak veya do\u011fru ko\u015fullar alt\u0131nda insanlardan daha iyi \u015fekilde yorumlayabilen bir yapay zekad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bilim adamlar\u0131 ve m\u00fchendisler, yapay sinir a\u011flar\u0131 olu\u015fturarak yapay zeka elde etmek i\u00e7in \u00e7al\u0131\u015f\u0131rlar. Ancak makinelere insan beyni gibi d\u00fc\u015f\u00fcnmeyi \u00f6\u011fretmek, \u00e7ok \u00f6zel bir ama\u00e7 i\u00e7in bile olsa, ola\u011fan\u00fcst\u00fc miktarda veri gerektirir.\u00a0<\/span><\/p>\n<h2 id=\"veri-bilimi-vs-makine-ogrenimi\">Veri Bilimi vs Makine \u00d6\u011frenimi<\/h2>\n<p><span style=\"font-weight: 400;\">Veri bilimi, istatistiklerin do\u011fal bir uzant\u0131s\u0131d\u0131r. Yeni teknolojilerin yard\u0131m\u0131yla b\u00fcy\u00fck miktarda veriyi i\u015flemek i\u00e7in bilgisayar bilimi ile birlikte geli\u015fmi\u015ftir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Buna kar\u015f\u0131l\u0131k, makine \u00f6\u011frenimi veri biliminin bir par\u00e7as\u0131d\u0131r, ancak daha \u00e7ok bir s\u00fcre\u00e7tir. Makine \u00f6\u011frenimi, bilgisayarlar\u0131n her bilgi par\u00e7as\u0131 i\u00e7in \u00f6\u011frenmesini ve bunu zaman i\u00e7inde daha etkili bir \u015fekilde yapmas\u0131n\u0131 sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200dMakine \u00f6\u011freniminde bilgisayarlar kendilerini e\u011fitmek i\u00e7in algoritmalar kullan\u0131r, ancak bu algoritmalar baz\u0131 kaynak verilere dayan\u0131r. Makine bu verileri bir e\u011fitim seti olarak kullan\u0131r, b\u00f6ylece algoritmas\u0131n\u0131 geli\u015ftirebilir, ince ayar yapabilir ve test edebilir ve ilerledik\u00e7e optimize edebilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200dAncak, insan girdisi gerektiren di\u011fer teknikler de bug\u00fcn anlad\u0131\u011f\u0131m\u0131z \u015fekliyle veri biliminin bir par\u00e7as\u0131d\u0131r. \u00d6rne\u011fin, bir makine, bir s\u0131n\u0131fland\u0131rma algoritmas\u0131n\u0131 optimize etmek i\u00e7in denetimsiz k\u00fcmeleme kullanarak veri yap\u0131lar\u0131n\u0131 alg\u0131lamak \u00fczere ba\u015fka bir makineyi e\u011fitebilir. Ancak s\u00fcreci tamamen bitirmek i\u00e7in, bir insan, en az\u0131ndan tam olarak e\u011fitilene kadar bilgisayar\u0131n tan\u0131mlad\u0131\u011f\u0131 yap\u0131lar\u0131 s\u0131n\u0131fland\u0131rmal\u0131d\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri biliminin kapsam\u0131, herhangi bir mekanik s\u00fcre\u00e7, bilgisayar veya makine taraf\u0131ndan \u00fcretilmeyen verileri kapsayan makine \u00f6\u011freniminin \u00e7ok \u00f6tesine ge\u00e7er. \u00d6rne\u011fin, veri bilimi ayn\u0131 zamanda anket verilerini, klinik deneylerden elde edilen verileri veya ger\u00e7ekten var olan di\u011fer her t\u00fcrl\u00fc veriyi tam spektrumu i\u00e7erir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200dVeri bilimi, sadece makineleri e\u011fitmek i\u00e7in de\u011fil, verilerin da\u011f\u0131t\u0131lmas\u0131n\u0131 da i\u00e7erir. \u0130statistiksel veri konular\u0131yla s\u0131n\u0131rl\u0131 olmaktan uzak, veri bilimi alan\u0131 kesinlikle makine \u00f6\u011frenimini ve veriye dayal\u0131 kararlar\u0131 otomatikle\u015ftirmeyi i\u00e7erir. Bununla birlikte, da\u011f\u0131t\u0131lm\u0131\u015f mimari ile birlikte veri entegrasyonu, veri m\u00fchendisli\u011fi ve veri g\u00f6rselle\u015ftirmeyi ve g\u00f6sterge tablolar\u0131n\u0131n ve di\u011fer i\u015f zekas\u0131 ara\u00e7lar\u0131n\u0131n olu\u015fturulmas\u0131n\u0131 da kapsar. Asl\u0131nda, \u00fcretim modunda herhangi bir veri da\u011f\u0131t\u0131m\u0131 da veri bilimi kapsam\u0131ndad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200dDolay\u0131s\u0131yla, bir veri bilimcisinin verilerden elde etti\u011fi i\u00e7g\u00f6r\u00fcleri olu\u015fturdu\u011fu yerde, bir makine, veri bilimci taraf\u0131ndan zaten alg\u0131lanan i\u00e7g\u00f6r\u00fclere dayal\u0131 olarak \u00f6\u011frenir. Bir makine mevcut algoritmik yap\u0131 \u00fczerine kendi i\u00e7g\u00f6r\u00fclerini olu\u015fturabilse de, ba\u015flang\u0131\u00e7 \u200b\u200bnoktas\u0131 bir t\u00fcr yap\u0131land\u0131r\u0131lm\u0131\u015f veriye dayan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">K\u0131sacas\u0131, bir veri bilimcisinin bir\u00e7ok veri bilimi tekni\u011fini kullanan makine \u00f6\u011frenimini anlamas\u0131 gerekir. Ancak bir veri bilimcisi i\u00e7in veri, mekanik bir s\u00fcre\u00e7ten veya makineden gelen verileri i\u00e7erebilir ya da i\u00e7ermeyebilir.<\/span><\/p>\n<h2 id=\"veri-bilimi-vs-derin-ogrenme\">Veri Bilimi vs Derin \u00d6\u011frenme<\/h2>\n<p><span style=\"font-weight: 400;\">Derin \u00f6\u011frenme, insan beyninin verileri i\u015flerken nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 sim\u00fcle eden ve karar verirken kullanmak i\u00e7in kal\u0131plar olu\u015fturan bir AI i\u015flevidir. Derin \u00f6\u011frenme, yap\u0131land\u0131r\u0131lmam\u0131\u015f veya etiketlenmemi\u015f verileri insan yard\u0131m\u0131 olmadan y\u00f6netebilen derin sinir a\u011flar\u0131na odaklanan bir t\u00fcr makine \u00f6\u011frenimidir. Buna derin sinirsel \u00f6\u011frenme de denir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Derin \u00f6\u011frenme, makine \u00f6\u011frenimi s\u00fcrecine dahil olmak i\u00e7in hiyerar\u015fik yapay sinir a\u011flar\u0131n\u0131 kullan\u0131r. Bu yapay sinir a\u011flar\u0131, insan beynine \u00e7ok benzeyen karma\u015f\u0131k n\u00f6ron d\u00fc\u011f\u00fcmleri a\u011flar\u0131 gibidir. Geleneksel veri analizi programlar\u0131 verilere do\u011frusal bir \u015fekilde yakla\u015fsa da, derin \u00f6\u011frenme sisteminin i\u015flev hiyerar\u015fisi, sorunlara do\u011frusal olmayan bir yakla\u015f\u0131m sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200dB\u00fcy\u00fck veri temel olarak yap\u0131land\u0131r\u0131lmam\u0131\u015ft\u0131r, bu nedenle derin \u00f6\u011frenme, veri bilimi ara\u015ft\u0131rmas\u0131n\u0131n \u00f6nemli bir alt k\u00fcmesidir.<\/span><\/p>\n<h2 id=\"veri-bilimi-vs-istatistik\">Veri Bilimi vs \u0130statistik<\/h2>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-3633 aligncenter\" src=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik.jpeg\" alt=\"\" width=\"1000\" height=\"500\" srcset=\"https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik.jpeg 1000w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik-300x150.jpeg 300w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik-768x384.jpeg 768w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik-380x190.jpeg 380w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik-550x275.jpeg 550w, https:\/\/bulutistan.com\/blog\/wp-content\/uploads\/2023\/03\/veri-bilimi-vs-istatistik-800x400.jpeg 800w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Veri bilimi zorluklar\u0131, b\u00fcy\u00fck miktarda verinin toplanmas\u0131n\u0131, i\u015flenmesini, y\u00f6netimini, analizini ve g\u00f6rselle\u015ftirilmesini gerektirir ve veri bilimcileri, bu hedeflere ula\u015fmak i\u00e7in istatistikler de dahil olmak \u00fczere \u00e7e\u015fitli alanlardan ara\u00e7lar kullan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Veri bilimi ve b\u00fcy\u00fck veri aras\u0131nda yak\u0131n bir ba\u011flant\u0131 vard\u0131r, \u00e7o\u011fu b\u00fcy\u00fck veri yap\u0131land\u0131r\u0131lmam\u0131\u015f bi\u00e7imlerde bulunur ve say\u0131sal olmayan baz\u0131 veriler i\u00e7erir. Bu nedenle, bir veri bilimcisi olarak verileri i\u015fleme g\u00f6revi, faydal\u0131 i\u00e7g\u00f6r\u00fcler elde etmeyi i\u00e7erir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u200d<\/span><span style=\"font-weight: 400;\">Bu istatistiksel g\u00f6revler, d\u00f6rt veri alan\u0131nda \u00f6zel tasar\u0131m ve uygulama gerektirir: Edinme, mimari, analiz ve ar\u015fivleme.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0130statistik, say\u0131sal ve kategorik verilerin incelenmesiyle ba\u015fa \u00e7\u0131kar ve veri bilimi de dahil olmak \u00fczere \u00e7ok say\u0131da ba\u015fka dikeyde kullan\u0131m g\u00f6ren uygulamal\u0131 bir aland\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6rne\u011fin, istatistiksel teori ve y\u00f6ntemler, veri bilimcilerinin daha g\u00fc\u00e7l\u00fc yollarla veri toplamas\u0131na, bunlar\u0131 belirli kullan\u0131mlar i\u00e7in analiz etmesine, yorumlamas\u0131na ve belirli sorunlar\u0131 \u00e7\u00f6zmek i\u00e7in sonu\u00e7lar \u00e7\u0131karmas\u0131na olanak tan\u0131r. Veri bilimcileri, sonu\u00e7lar\u0131n\u0131n ge\u00e7erli ve tutarl\u0131 sonu\u00e7lar olmas\u0131n\u0131 sa\u011flamak i\u00e7in ara\u015ft\u0131rma tasarlarken ve y\u00fcr\u00fct\u00fcrken s\u0131kl\u0131kla istatistiksel protokoller kullan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0130statistiksel y\u00f6ntemler ayn\u0131 zamanda veri bilimcilerinin verileri kapsaml\u0131 bir \u015fekilde ke\u015ffedip tan\u0131mlayabilmelerini sa\u011flarken ayn\u0131 zamanda onlar\u0131 \u00f6zetlemelerini de sa\u011flar. Son olarak, istatistiksel protokoller, do\u011fru tahmin ve anlay\u0131\u015fl\u0131 \u00e7\u0131kar\u0131mlar i\u00e7in gereklidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in <\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"><span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"isletmeler-icin-veri-bilimi\">\u0130\u015fletmeler i\u00e7in Veri Bilimi<\/h2>\n<p><span style=\"font-weight: 400;\">Veri bilimi bir i\u015f ortam\u0131nda uyguland\u0131\u011f\u0131nda veri bilimi ve analitik bir araya gelir. Veri bilimi, i\u015fletmelerin mevcut verilere dayal\u0131 olarak m\u00fc\u015fterilerin belirli ihtiya\u00e7lar\u0131n\u0131 daha iyi anlamas\u0131na yard\u0131mc\u0131 olur. \u00d6rne\u011fin, m\u00fc\u015fteri ya\u015f\u0131, sat\u0131n alma ge\u00e7mi\u015fi, ge\u00e7mi\u015f tarama ge\u00e7mi\u015fi, gelir ve di\u011fer demografik bilgilerle bir veri bilimcisi, arama ve \u00fcr\u00fcn \u00f6nerisi i\u00e7in modelleri daha etkili bir \u015fekilde e\u011fitebilir.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Veri bilimi yani data science, yeni i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in verileri yakalama, i\u015fleme ve analiz etme ile ilgilenen&hellip;\n","protected":false},"author":1,"featured_media":3628,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_appearance_grid":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Veri Bilimi (Data Science) Nedir? 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