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Business Analytik pre Data Science II.

8h 11min
Time
80
Chapters
Programovanie
Category
5.0
Rating
Intermediate
Level
slovak
Language

Chapters

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O tomto kurze
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Vytváranie a vyberanie atribútov
Čo je vytváranie atribútov?
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Prehľad typov atribútov
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Vytváranie numerických atribútov 1
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Vytváranie numerických atribútov 2
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Vytváranie kategorických atribútov
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Atribúty času a dátumu
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Vytváranie atribútov pomocou agregácie
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Chýbajúce hodnoty
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Preferujte pozorované a odvodené atribúty
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Využívajte špecifické atribúty
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Etika a férovosť pri vytváraní atribútov
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Čo je výber atribútov
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Hra vyberania atribútov
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Metódy výberu atribútov (prehľad)
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Vytváranie atribútov z textu
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Vytváranie atribútov z obrázkov
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Základné princípy strojového učenia
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Supervised Learning (príklady)
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Unsupervised Learning (príklady)
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Reinforcement Learning (príklady)
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Formulácia problému
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Funkcia prírody
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Nákladová funkcia
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Tréningové, zadržané a produkčné dáta
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Vytvorenie zadržaných dát nemusí byť priamočiare
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Pretrénovaný a nedotrénovaný model
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Rodiny modelov strojového učenia
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Modely založené na vzdialenosti (distance-based)
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Lineárne modely
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Neurónové siete
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Rozhodovací strom (decision tree)
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Ansámblové modely (Ensemble models)
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Rozhodnutie o rodine modelu
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Dve kultúry
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Regresia a jej vyhodnotenie
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Regresný problém
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Nákladová funkcia regresie
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Prvotný (baseline) regresný model
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Trénovanie modelu lineárnej regresie
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Predikovanie pomocou regresného modelu
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Porovnanie s prvotným modelom
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Vyhodnotenie regresného modelu
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Interpolácia a extrapolácia
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Klasifikácia a jej vyhodnotenie
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Klasifikačný problém
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Nákladová funkcia klasifikačného modelu
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Prvotný (baseline) klasifikačný model
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Trénovanie rozhodovacieho stromu
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Pretrénovaný a nedotrénovaný strom
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Predpovedanie natrénovaným stromom
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Matica zmien (confusion matrix)
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Celková správnosť / Presnosť (accuracy)
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Špecifita (precision) a senzitivita (recall)
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Nevybalansované dáta
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Učenie bez učiteľa
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Zhlukovanie - segmentácia zákazníkov
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Zhlukovanie - odporúčacie systémy
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Zhlukovanie - učenie poloriadené učiteľom
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Redukcia dimenzionality - vizualizácia
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Redukcia dimenzionality - príprava údajov
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Redukcia dimenzionality - separácia signálu
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Detekcia anomálií - odľahlé hodnoty
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Detekcia anomálií - chybné výrobky
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Detekcia anomálií - podvody
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Data Science modely v produkcii
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Môj model je vlastne experiment...
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Vytvorte si metriky
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Definujte AB testing
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Definujte experiment
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Zhrnutie experimentu
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Validácia dát
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Prepracovanie pre produkčné prostredie
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Vyčistenie pre produkčné prostredie
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Slučky spätnej väzby
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Nedeklarovaní spotrebitelia
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Stabilizácia zdrojov dát
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Čo ďalej?
Diskusia a hodnotenie
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Gratulujem! Čo ďalej?
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12 Online courses
1 Posts