{"product_id":"programmirovanie-mashinnogo-obucheniya-v-python-von-jorge-gomez-und-velssy-hernandez","title":"PROGRAMMIROVANIE MAShINNOGO OBUChENIYa V PYTHON","description":"\u003cp\u003eObuchenie pod nablüdeniem opisywaet scenarij, w kotorom opyt stanowitsq obuchaüschim faktorom, soderzhaschim wazhnuü informaciü (naprimer, metki \"bol'noj\/zdorowyj\" dlq obnaruzheniq boleznej rastenij), kotoraq otsutstwuet w newidimyh \"testowyh primerah\", k kotorym budet primenqt'sq poluchennyj opyt. V ätom scenarii priobretennyj opyt naprawlen na predskazanie nedostaüschej informacii dlq testowyh dannyh. V ätom smysle okruzhaüschuü sredu mozhno rassmatriwat' kak uchitelq, kotoryj kontroliruet uchenika, predostawlqq emu dopolnitel'nuü informaciü w wide metok. V ätoj knige my rassmotrim modeli kontroliruemogo mashinnogo obucheniq, s pomosch'ü kotoryh wy pojmete teoreticheskie osnowy, nekotorye opisaniq prikladnyh oblastej, a zatem realizuete kazhduü iz nih w laboratorii Jupyter s pomosch'ü bibliotek pandas i scikit-learn dlq Python. Snachala wy nachnete s logisticheskoj regressii (binarnaq klassifikaciq), mnogoklassowoj klassifikacii s pomosch'ü logisticheskoj regressii, derew'ew reshenij, mashin wektorow podderzhki - SVM (Support Vector Machines), Random Forest, K-Fold Cross Validation i, nakonec, Naive B\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786205365274\"\u003e\u003ch3\u003eVwedenie w modeli mashinnogo obucheniq - Supervised\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9786205365274","offer_id":40730685964381,"sku":"9786205365274","price":24.8,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/3ce66e53-723d-4a00-a5d5-4090cf535874.png?v=1748756618","url":"https:\/\/shop.autorenwelt.de\/en\/products\/programmirovanie-mashinnogo-obucheniya-v-python-von-jorge-gomez-und-velssy-hernandez","provider":"Autorenwelt Shop","version":"1.0","type":"link"}